Enter records

ID: 60615
Title: Integrating SAR and derived products into operational volcano monitoring and decision support systems.
Author: F.J. Meyer, D.B. McAlpin, W.Gong, O. Ajadi, S. Arko, P.W. Webley, J. Dehn.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 106-117 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Hazards, Volcanoes, Change detection, monitoring, SAR, Decision support, Performance, Multisensor.
Abstract: Remote sensing plays a critical role in operational volcano monitoring due to the often remote locations of volcanic systems and the large spatial extent of potential eruption pre-cursor signals. Despite the all-weather capabilities of radar remote sensing and its high performance in monitoring of change, the contribution or radar data to operational monitoring activities has been limited in the past. This is largely due to: (1) the high costs associated with radar data; (2) traditionally slow data processing and delivery procedures; and (3) the limited temporal sampling provided by spaceborne radars. With this paper, we allow for a meaningful integration of radar data into operational volcano monitoring decision support systems. Specifically, we present fast data access procedures as well as sampling of volacanic systems with SAR data. We introduce phase-based (coherent) and amplitude-based (incoherent) change detection procedures that are able to extract dense time series of hazard information from these data. For a demonstration, we present an integration of our processing system with an operational volcano monitoring system that was developed for use by the Alaska Volcano Observatory (AVO). Through an application to a historic eruption, we show that the integration of SAR into systems such as AVO can significantly improve the ability of operational systems to detect eruptive precursors. Therefore, the developed technology is expected to improve operational hazard detection, alerting, and management capabilities.
Location: T E 15 New Biology Building.
Literature cited 1: Amelung, F., Jonsson, S., Zebker, H., Segall, P., 2000a. Widespread uplift and ' trapdoor ' faulting on Galpagos volcanoes observed withradar interferometry. Nature 407 (6807), 993-996. Amelung, F., Oppenheimer, C., Segall, P., Zebker, H., 2000b. Ground deformation near Gada ?Ale Volcano, Afar, observed by radar interferometry.Geophys.Res.Lett.27 (19), 3093-3096.
Literature cited 2: Arnoult, K., Olson, J., Szuberla, C., McNutt, S., Garces, M., Fee, D., Hedlin, M., 2010. Infrasound observations of the 2008 explosive eruptions of Okmok and Kasatochi volcanoes.J.Geophys.Res.115, DOOL15. Attema, E., Bargellini, P., Edwards, P., Levrini, G., Lokas, S., Moeller, L., Rosich-Tell, B., Secchi, P., Torres, R., Davidson, M., 2007 .Sentinel-1-the radar mission for GMES operational land and sea services. ESABull.131, 10-17.

ID: 60614
Title: Persistent scatterers at building facades-Evaluation of appearance and localization accuracy.
Author: Stefan Gernhardt, Stefan Auer, Konrad Eder.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 92-105 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Urban, SAR, Simulation, Understanding, Pont cloud, Accuracy.
Abstract: Thanks to the high resolution of modern SAR satellites many persistent scatterers (PS) appear at single buildings. Approximately half of them represent building facades. These groups of points often show regular patterns in SAR images that can be related to repeating structure elements on the facades. Hence, individual buildings can now be monitored over time, either based on amplitude (for change detection) or phase information (using interferometric methods). However, patterns of point signatures are often disrupted or disappear when the imaging geometry is slightly changed. In addition, the localization accuracy of estimated and geocoded natural PS is not known, yet. The investigation at hand provides a detailed analysis of PS patterns based on reference data obtained from a photogrammetric survey and terrestrial measurements. The processing of the optical images allows creating a detailed 3D model of the respective fa?ade, which represents the geometrical object information for SAR simulation. The terrestrial measurements allow relating the 3D model to its true position in a world coordinate system like UTM (Universal Transverse Mercator), which is necessary for assessing the localization accuracy of the signatures. From the simulation results the appearance of the point patterns of natural PS in high resolution SAR data can be better understood. Moreover, the localization accuracy and precision for these points can be derived for the first time. The approach and findings for two case studies in Munich are described in detail in this paper.
Location: T E 15 New Biology Building.
Literature cited 1: Adam, N., Eineder, M., Yague-Martinez, N., Bamler, R., 2008. High resolution interferometric stacking with TerraSAR-X. In: Proceedings of IEEE International Geoscinece and Remote Sensing Symposium, pp. 117-120. Adam, N., Kampes, B., Eineder, M., 2004. Development of a scientific permanent scatterer system: modifications for mixed ERS/ENVISAT time series. In: Proceedings of Envisat &ERS Symposium, pp. 117-120.
Literature cited 2: Auer, S., 2011. 3D Synthetic Aperture Radar Simulation for Interpreting Complex Urban Reflection Scenarios.Ph.Dthesis, Deutsche Geodatische commission, Reihe C, Nr. 660, Verlag der Bayerischen Akademie der Wissenschaften, 126p.URL:<http://dgk.badw.de/fileadmin/docs/c-660.pdf>. Auer, S., Gernhardt, S., Bamler, R., 2011. Ghost persistent scatterers related to multiple signal reflections.Geosc.Remote Sens.Lett 8 (5), 919-923.

ID: 60613
Title: Measuring thermal expansion using X-band persistent scatterer interferometry.
Author: Michele Crosetto, Oriol Monserrat, Maria Cuevas-Gonzalez, Nuria Devanthery, Guido Luzi.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 84-91 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Thermal expansion, Very high resolution imagery, SAR, Interferometry, TerraSAR-X, Ground-based SAR
Abstract: This paper is focused on the estimation of the thermal expansion of buildings and infrastructures using X-band Persistent Scatterer Interferometry (PSI) observations. For this purpose an extended PSI model is used, which allows separating the thermal expansion from the total observed deformation thus generating a new PSI product: the map of the thermal expansion parameter, named thermal map. The core of the paper is devoted to the exploitation of the information contained in the thermal maps: three examples are discussed in detail, which concern a viaduct, a set of industrial buildings and two skyscrapers. The thermal maps can be used to derive the thermal expansion coefficient of the observed objects and information on their static structure. In addition, the paper illustrates the distortions in the PSI deformation products that occur if the thermal expansion is not explicitly modeled. Finally, an inter-comparison exercise is described, where the thermal expansion coefficients estimated by PSI are compared with those derived by a Ku-band ground-based SAR campaign.
Location: T E 15 New Biology Building.
Literature cited 1: Bell, J.W., Amelung, F., Ferretti, A., Bianchi, M., Novali, F., 2008. Permanent scatterer InSAR reveals seasonal and long-term aquifer-system response to groundwater pumping and artificial recharge. Water Resour. Res. 44, W02407. http://dx.doi.org/10.1029/2007WR006152. Burgmann, R., Hilley, G.E., Ferretti, A., Novali, F., 2006. Resolving vertical tectonics in the San Francisco Bay area from permanent scatterer InSAR and GPS analysis. Geology 34 (3), 221-224.
Literature cited 2: Colesanti, C., Le Mouelic, S., Bennani, M., Raucoules, D., Carnec, C., Ferretti, A., 2005. Detection of mining related ground instabilities using the permanent scatterers technique-a case study in the east of France.Int. J. Remote Sens.26 (1), 201- 207. Crosetto, M., Agudo, M., Monserrat, O., Pucci B., 2007. Inter-comparison of persistant scatterer interferometry results. In: Proceedings of the Fringe 2007 Workshop, 26-30 November 2007, Frascati, Italy. http://earth.esa.int/workshops/fringe07/papers/papers_posters/s7_5cros.pdf.

ID: 60612
Title: Classification of airborne laser scanning data using JointBoost.
Author: Bo Guo, Xianfeng Huang, Fan Zhang, Gunho Sohn.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 71-83 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: LiDAR, Classification, JointBoost, Feature, Contextual, Point Cloud.
Abstract: The demands for automatic point cloud classification have dramatically increased with the wide-spread use of airborne LiDAR. Existing research has mainly concentrated on a few dominant objects such as terrain, buildings and vegetation. In addition to those key objects, this paper proposes a supervised classification method to identify other types of objects including power-lines and pylons from point clouds using a JointBoost classifier. The parameters for the learning model are estimated with various features computed based on geometry and echo information of a LiDAR point cloud. In order to overcome the shortcomings stemming from the inclusion of bare ground data before classification, the proposed classifier directly distinguishes terrain using a feature step-off count. Feature selection is conducted using JointBoost to evaluate feature correlations thus improving both classification accuracy and operational efficiency. In this paper, the contextual results obtained by the JointBoost classifier. Our experimental results show that the step-off count significantly contributes to classification. Seventeen effective features are selected for the initial classification results using the JointBoost classifier. Our experiments indicate that the proposed features and method are effective for classification of airborne LiDAR data from complex scenarios.
Location: T E 15 New Biology Building.
Literature cited 1: Bishop, C.M., 2006. Pattern Recognition and Machine Learning. Springer, New York. Boykov, Y., Funka-Lea, G., 2006. Graph cuts and efficient N-D image segmentation. Int. J. Comput. Vision 70 (2), 109-131.
Literature cited 2: Boykov, Y., Veksler, O., Zabih, R., 2001. Fast approximate energy minimization via graph cuts. IEEE Trans.Pattern Anal.Mach.Intell. 23 (11), 1222-1239. Charlton, M., Coveney, S., Mccarthy, T., 2009. Issues in Laser scanning. In: Heritage, G., Large, A. (Eds). Laser Scanning for The Environmental Sciences. Wiley-Blackwell, London, pp. 35-48.

ID: 60611
Title: Evaluation and comparison of different radargrammewtic approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site.
Author: P.Capaldo, A. Nascetti, M. Porfiri, F. Pieralice, F. Fratarcangeli, M. Crespi, T. Toutin.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 60-70 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: High resolution SAR imagery, Radargrammetry, Orientation models, Digital Surface Models.
Abstract: In this manuscript we analyze the potentialities of the radargammetric DSMs generation using high resolution SAR imagery acquired by three different platforms (COSMO-SkyMed, TerraSAR-Xand RADARSAT-2), with particular attention to geometric orientation models. Two orientation models are considered and compared: Toutin ' s model (Canada Center for Remote Sensing), implemented in the commercial software package PCI-Geomatica and based on Ground Control Points (GCPs), and the radargrammetric model implemented in the scientific software SISAR (University of Rome La Sapienza), based on images metadata orbital information only. Moreover, a comparison between the DSMs following the image matching approaches implemented in PCI-Geomatica and SISAR has been performed. The analysis has been carried out over Beauport test site (Quebec, Canada), where three overlapping stereopairs, one for each of the mentioned platform, were acquired and a LiDAR ground truth and a dense set of GNSS Check points (CPs) are available. The presented results appear promising: DSMs accuracy are within 4 and 5m for all sensors, independently from orientation model (with or without GCP) and image matching approach, provided good relative orientation is guaranteed, what mainly attains to the quality of metadata orbital information.
Location: T E 15 New Biology Building.
Literature cited 1: Balz, T., Zhang, L., Liao, M., 2013. Direct stereo radargrammetric processing using massively parallel processing. ISPRS J.Photogramm.Remote Sens. 79, 137-146. Bonafoni, S., Mazzoni, A., Cimini, D., Montopoli, M., Pierdicca, N., Basili, P., Ciotti, P., Carlesimo, G., 2013. Assessment of water vapor retrievals from a GPS receiver network.GPS Solut 17 (4), 475-484, <www. Scopus.com>.
Literature cited 2: Capaldo, P., 2013. High Resolution Radargrammetry w3ith COSMO-SkyMed, TerraSAR-X and RADARSAT-2Imagery: Development and Implementation of an Image Orientation Model for Digital Surface Model Generation PhD Thesis. University of Rome La Sapienza, Faculty of Engineering. Capaldo, P., Crespi, M., Fratarcangeli, F., Nascetti, A., Pieralice, F., 2011. High-resolution SAR radargrammetry: a first application with COSMO-SkyMed spotlight imagery.IEEE Geosci.Remote Sens. Lett. 8 (6), 1100-1104.

ID: 60610
Title: Measurement of ground displacement from optical satellite image correlation using the free open-source software MicMac
Author: Ana-Maria Rosu, Marc Pierrot-Deseilligny, Arthur Delorme, Renaud Binet, Yann Klinger.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 48-59 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Satellite image, Ground displacement, Image correlation, COSI-Corr, Medicis, MicMac.
Abstract: Image correlation is one of the most efficient techniques to determine horizontal ground displacements due to earthquakes, landslides, ice flows or sand dune migrations. Analyzing these deformations allows a better understanding of the causes and mechanisms of the events. By using sub-pixel correlation on before-and after-event ortho-images obtained from high resolution satellite images it is possible to compute the displacement field with high planimetric resolution. In this paper, we focus on measuring the ground displacements due to seismotectonic events. The three sub-pixel correlators used are: COSI-Corr-developed by Cltech, a free, closed-source correlator, dependent on commercial software (ENVI) and widely used by the geoscience community for measuring ground displacement; Medicis -developed by IGN, the free open-source correlator we study and tune for measuring fine ground displacements. We measured horizontal ground deformation using these three correlators on SPOT images in three study cases: the 2001 kokoxili earthquake, the 2005 dyke intrusion in the Afar depression and the 2008 Yutian earthquake.
Location: T E 15 New Biology Building.
Literature cited 1: Ayele, A., Jacques, E., Kassim, M., Kidane, T., Omar, A., Tait, S., Nercessian, A., de Chabalier, J.-B, King, G., 2007. Earth Planetary Sci.Lett. 255, 177-187. http://dx.doi.org/10.1016/j.eps/.2006.12.014. Ayoub, F., Leprince, S., Keene, L., 2009. User ' s Guide to COSI-CORR, Co-registration of Optically Sensed Images andCorrelation.http://tectonics.caltech.edu/slip_history/spot_coseis.>
Literature cited 2: Barisin, I., Leprince, S., Parsons, B., Wright, T., 2009. Surface displacements in the September 2005.Earth Afar rifting event from satellite image matching: asymmetric uplift and faulting.Geophys.Res.Lett 36 (L07301).http://dx.doi.org/10.1029/2008GL036431. Bicheron, P., Amberg, V., Bourg, L, Petit, D., Huc, M., Miras, B., Brockmann, C., Delwart, S., Ranera, F., Hagolle, O., Leroy, M., Arino, O., 2011. Geolocation assessment of MERIS GlobCover orthorectified products.IEEE Trans. Geosci.Remote Sens. 49 (8), 2972-2982. http://dx.doi.org/10.1109/TGRS2011.2122337.

ID: 60609
Title: Radiometric and geometric evaluation o fGeoEYe-1, WorldView-2 and Pleiades-1A stereo images for 3D information extraction.
Author: D.Poli, F. Remondino, E. Angiuli, G. Agugiaro.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 35-47 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Very High Resolution, Radiometry, Geometry, DSM, Quality assessment, Quantitative analysis.
Abstract: Today the use of spaceborne Very High Resolution (VHR) optical sensors for automatic 3D information extraction is increasing in the scientific and civil communities. The 3D Optical Metrology (3DOM) unit of the Bruno Kessler Foundation (FBK) in Trento (Italy) has collected VHR satellite imagery, as well as aerial and terrestrial data over Trento for creating a complete test field for investigations on image radiometry, geometric accuracy, automatic digital surface model (DSM) generation, 2D/3D feature extraction, city modeling and data fusion. This paper addresses the radiometric and geometric aspects of theVHR spaceborne imagery included in the Trento testfield and their potential for 3D information extraction. The dataset consist of two stereo-pairs acquired by WorldView-2 and GeoEye-1 in panchromatic and multispectral mode, and a triplet from Pleiades-1A. For reference and validation, a DSM from airborne LiDAR acquisition is used. The paper gives details on the project, dataset characteristics an achieved results.
Location: T E 15 New Biology Building.
Literature cited 1: 4DiXplorer AG website, 2013.http://www.4dixplorer.com (access 02.14). Agugiaro, G., Poli, D., Remondino, F., 2012. Testfield Trento: geometric evaluation of very high resolution satellite imagery.Int.Arch.Photogrammetry, Remote Sens. Spatial Informat.Scdi. 39 (1), 191-196.
Literature cited 2: Aguilar, M.A., Saldana, M.d.M., Aguilar, F.J., 2013. Generation and quality assessment of stereo-extracted DSM from Geo-Eye-1 and WorldView-2 imagery. IEEE Trans.Geosci.Remote Sens.52 (6), 11259-11271. Astrium, 2012.Pleiades Imagery User Guide. October 2012-v2.0.

ID: 60608
Title: Coregistration refinement of hyperspectral images and DSM: An object-based approach using spectral information.
Author: Janja Avbelj, Dorota Iwaszczczuk, Rupert Muller, Peter Reinartz, Uwe Stilla.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 23-34 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Hyper spectral, DEM/DTM, Registration, Multisensor, Urban, Matching.
Abstract: For image fusion in remote sensing applications the georeferencing accuracy using position, attitude, and camera calibration measurements can be insufficient. Thus, image processing techniques should be employed for precise coregistration of images. In this article a method for multimodal object-based image coregistration refinement between hyperspectral images (HIS) and digital surface models (DSM) is presented. The method is divided in three parts: object outline detection in HIS and DSM, matching, and determination of transformation parameters. The novelty of our proposed coregistration refinement method is the use of material properties and height information of urban objects from HIS and DSM, respectively. We refer to urban objects as objects which are typical in urban environments and focus on buildings by describing them with 2D outlines. Furthermore, the geometric accuracy of these detected building outlines is taken into account in the matching step and for the determination of transformation parameters. Hence, a stochastic model is introduced to compute optimal transformation parameters. The feasibility of the method is shown by testing it on two aerial HSI of different spatial and spectral resolution, and two DSM of different spatial resolution. The evaluation is carried out by comparing the accuracies of the transformations parameters to the reference parameters, determined by considering object outlines at much higher resolution, and also by computing the correctness and the quality rate of the extracted outlines before and after coregistration refinement. Results indicate that using outlines of objects instead of only line segments is advantageous for coregistration of HSI and DSM. The extraction of building outlines in comparison to the line cue extraction provides a larger amount of assigned lines between the images and is more robust to outliers, i.e. false matches.
Location: T E 15 New Biology Building.
Literature cited 1: Avbelj, J., 2012. Spectral information retrieval for sub-pixel building edge detection. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 1 (7), 61-66. http://dx.doi.org/10.5194/isprsannals-1-7-61-2012, ISSN 2194-9050. Avbelj, J., Iwaszczuk, D., Muller, R., Reinartz, P., Stilla, U., 2013. Line-based registration of DSM and hyperspectral images. Int. Arch.Photogramm. Remote Sens.Spatial Inf.Sci. XL (1/W1), 13-18. http://dx.dopi.org/10.5194/isprsarchives-XL-1-W1-13-2013, ISSN 1682-1777.
Literature cited 2: Awrangjeb, M., Ravanbakhsh, M., Fraser, C.S., 2010. Automatic detection of residential buildings using LIDAR data and multispectral imagery. ISPRS J. Photogramm.Remot Sens. 65 (5), 457-467. http://dx.doi.org/10.1016/j.isprsjprs.2009.06.004. Blaschke, T., 2010. Object based image analysis for remote sensing. ISPRS J. Photogramm. Remote Sens. 65 (1), 2-16. http://dx.doi.org/10.1016/j.isprsjprs.2009.06.004.

ID: 60607
Title: Automated bias-compensation of rational polynomial coefficients of high resolution satellite imagery based on topographic maps.
Author: Jeohong Oh, Changno Lee.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 14-22 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: High-resolution satellite imagery, Georeferencing, RPCs, Bias-compensation, Digital topographic map, RECC.
Abstract: As the need for efficient methods to accurately update and refine geospatial satellite image databases is increasing. We have proposed the use of 3-dimensional digital maps for the fully-automated RPCs bias compensation of high resolution satellite imagery. The basic idea is that the map features are scaled and aligned to the image features, except for the local shift, through the RPCs-based image projection, and then the shifts are automatically determined over the entire image space by template-based edge matching of the heterogeneous data set. This enables modeling of RPCs bias compensation parameters for accurate geoereferencing. The map features are selected based on four suggested rules. Experiments were carried out for three Kompsat-2 images and stereo IKONOS images with1: 5000 scale Korean national topographic maps. Image matching performance is discussed with justification of the parameter selection, and the georeferencing accuracy is analyzed. The experimental results showed the automated approach can achieve one-pixel level of georeferencing accuracy, enabling economical hybrid map creation as well as large scale map updates.
Location: T E 15 New Biology Building.
Literature cited 1: Baarda, W., 1968. A Testing Procedure for use in Geodetic Networks, vol. 2 (5). Netherlands Geodetic Commission, Publications on Geodesy, New Series, 97 pp. Dowman, I.J., Morgado, A., Vohra, V., 1996.Automatic registration of images with maps using polygonal features. Int.Arch.Photogramm.Remote Sens. 31 (B3), 139-145.
Literature cited 2: Euroconsult, 2010 .Satellite-Based Earth Observation, Market Prospects to 2018, Paris. Fraser, C.S., Hanley, H.B., 2005. Bias-compensated RPCs for sensor orientation of high-resolution satellite imagery.Photogramm.Eng.Remote Sens. 71 (8). 909-915.

ID: 60606
Title: In-flight photogrammetric camera calibration and validation via complementary lidar.
Author: A.S. Gneeniss, J.P. Mills, P.E. Miller.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 100 3-13 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Aerial triangulation, Bundle adjustment, Calibration, Digital camera, Lidar, Registration.
Abstract: This research assumes lidar as a reference dataset against which in-flight camera system calibration and validation can be performed. The methodology utilizes a robust squares surface matching algorithm to align a dense network of photogrammetric points to the lidar reference surface, allowing for the automation extraction of so-called lidar control points (LCPs).Adjustment of photogrammetric data is the n repeated using the extracted LCPs in a self-calibrating bundle adjustments with additional parameters. This methodology was tested using two different photogrammetric datasets, a MicrosoftUltraCamX large format camera and an Applanix DSS322 medium for mat camera. Systematic sensitivity testing explored the influence of the number and weighting of LCPs. For both camera blocks it was found that when the number of control points increase, the accuracy improves regardless of point weighting. The calibration results were compared with those obtained using ground control points, with good agreement found between the two.
Location: T E 15 New Biology Building.
Literature cited 1: Akca, D., 2007. Matching of 3D surfaces and their intensities. ISPRS J. Photogramm. Remote Sens. 62 (2), 112-121. Alamus, R., Kornus, W., 2008. DMC geometry analysis and virtual image characterization.Photogramm.Rec. 23 (124), 353-371.
Literature cited 2: Armenakis, C., Gao, Y., Sohn, G., 2013. Co-registration of aerial photogrammetric and lidar point clouds in urban environments using automatic plane correspondence.Appl.Geomatics 5 (2), 155-166. Baltsavias, E.P., 1999. A comparison between photogrametry and laser scanning. ISPRS J.Photogramm.RemoteSens. 54 (2), 83-94.

ID: 60605
Title: A rigorous cylinder-based self-calibration approach for terrestrial laser scanners.
Author: Ting On Chan, Derek D. Lichti, David Belton
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 99 84-99 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Cylinder, Laser scanning, Geometric calibration, Close range, Accuracy, Correlation.
Abstract: Existing self-calibration methods for terrestrial laser scanners are predominantly point-based and plane-based. In this paper, we present a new cylinder-based self calibration method with its variants for several scanners having different architectures and scanning mechanisms. The method not only increases the flexibility of in situ self-calibration, but also its rigor because of reduced functional dependencies between adjustment parameters. Based on the analysis of linear dependencies between columns of the design matrices for both the cylindrical and planar models, it is shown that using the vertical cylindrical model is advantageous over using the planar model as some high linear dependencies can be avoided. The proposed method and its variants were first applied to two simulated datasets, to compare their effectiveness, and then to three real datasets captured by three different types of scanners are presented: a Faro focus 3D (a phase-based panoramic scanner); a Velodyne HDL-32E (a pulse-based multi spinning beam scanner); and a Leica ScanStation C10 ( a dual operating-mode scanner). The experimental results show that the proposed method can properly estimate the additional parameters with high precision. More importantly, no high correlations were found between the additional parameters and other parameters when the network configuration is strong. The overall results indicate that the proposed calibration method is rigorous and flexible.
Location: T E 15 New Biology Building.
Literature cited 1: Abbas, M.A., Lichti, D., Chong, A.K, Setan, H., Majid, Z., 2014. An on-site approach for the self-calibration of terrestrial laser scanner. Measurement 52, 111-123. Atanacio-Jimenez.G., Hurtado-Ramos, J.B., Gonzalez-Barbosa, R., 2011. LiDAR Velodyne HDL-64 E calibration using pattern planes. Int.J.Adv.Robotic Syst.8 (5), 70-82.
Literature cited 2: Cabo, C., Ordonez, C., Garcia-Cortes, S., Martinez, J., 2014. An algorithm for automation detection of pole-like street furniture objects from mobile laser scanner point clouds.ISPRS J.Photogram.Remote Sens. 87, 47-56. Chan, T.O., Lichti, D.D., 2012. Cylinder-based self-calibration of a panoramic terrestrial laser scanner. Int.Arch.Photogram.RTemote Sens.Spatial Info.Sci.39 (PartB5) 169-174.

ID: 60604
Title: Estimation and analysis of gross primary production of soybean under various management practices and drought conditions.
Author: Pradeep Wagle, Xiangming Xiao, Andrew E. Suyker.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 99 70-83 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Gross primary production, Light use efficiency, Remote sensing, Vapor pressure deficit, Vegetation indices, Vegetation photosynthesis model.
Abstract: Gross primary production (GPP) of croplands may be used to quantify crop productivity and evaluate a range of management practices. Eddy flux data from three soybean (Glycine max L) fields under different management practices (no-till vs till; rainfed vs.irrigated) and Moderate Resolution Imaging Spectroradiometer (MODIS) derived vegetation indices (VIs) were used to test the capabilities of remotely sensed VIs and soybean phenology to estimate the seasonal dynamics of carbon fluxes. The modeled GPP (GPPVPM) using vegetation photosynthesis model (VPM) was compared with GPP (GPPEC) estimated from eddy covariance measurements. The VIs tracked soybean phenology well and delineated the growing season length (GSL), which was closely related to carbon uptake period (CUP, R2=0.84), seasonal sums of net ecosystem CO2 exchange (NEE, R2=0.78), and GPPEC (R2=0.54).Land surface water index (LSWI) tracked drought-impacted vegetation well, as the LSWI values were positive during non-drought periods and negative during severe droughts within the soybean growing season. On seasonal scale, NEE of the soybean sites ranged from -37 to -264 g Cm-2. The result suggests that rainfed soybean fields needed about 450-500 mm of well-distributed seasonal rainfall to maximize the net carbon sink. During non-drought conditions, VPM accurately estimated seasonal dynamics and interannual variation of GPP of soybean under different management practices. However, some large discrepancies between GPPVPM and GPPEC were observed under drought conditions as the VI did not reflect the corresponding decrease in GPPEC. Diurnal GPPEC dynamics showed a bimodal distribution with a pronounced midday depression at the period of higher water vapor pressure deficit (>1.2 kPa). A modified Wscalar based on LSWI to account for the water stress in VPM helped quantify the reduction in GPP during severe drought and the model ' s performance improved substantially. In conclusion, this study demonstrates the potential of integrating vegetation activity through satellite remote sensing with ground-based flux and climate data for a better understanding and upscalling of carbon fluxes of soybean croplands.
Location: T E 15 New Biology Building.
Literature cited 1: Angers, D., Bolinder, M., Carter, M., Gregorich, E., Drury, C., B., Voroney, R., Simard, R., Donald, R., Beyaert, R., 1997. Impact of tillage practices on organic carbon and nitrogen storage in cool, humid soils of eastern Canada.Soil Till.Res. 41, 191-201. Baker, J., Griffs, T., 2005. Examining strategies to improve the carbon balance of corn/soybean agriculture using eddy covariance and mass balance techniques. Agric.Forest Meteorol.128, 163-177.
Literature cited 2: Baldocchi, D., Flage, E., GU, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., 2001. FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities.Bull.Am.Meteorol.Soc82, 2415-2434. Brown, D.M., 1960.Soybean ecology.I.Development-temperature relationships from controlled environment studies.Agron.J.52, 493-496.

ID: 60603
Title: Estimating wide range Total Suspended Solids concentrations from MODIS 250-m imageries: An improved method.
Author: Shuisen Chen, Liusheng Han, Xiuzhi Chen, Dan Li, Lin Sun, Yong Li.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 99 58-69 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: MODIS-250 m, Remote Sensing, Total Suspended Solids (TSS) Wide range, Model.
Abstract: The objective of this study was to evaluate the performance of moderate resolution imaging spectroradiometer (MODIS) 250 m based TSS (Total Suspended Solids) retrieval model for developing the model of wide-range TSS concentrations. Using field spectral and TSS data (5.8-577.2 mg/l) collected from estuary and cost of China, we calibrated (N=40) and validated (N=20) the 6 TSS retrieval models in forms of single band (B1 of B2), difference of the two bands, sediment index, band ratio and log-ratio by the least squares technique. Results showed that the quadratic model of log-ratio is of the best accuracy (Calibration): R2 =0.752, N=40. Validation: TSS >31 mg/l, RMSE=37.9 mg/l, N=12; TSS? 31mg/l, RMSE =3.25 mg/l, N=8). We also found that the spectral log-ratio values increased with the increasing of TSS when TSS<31 mg/l, but decreased with increasing TSS when TSS.31 mg/l. The findings of quadratic curve vertex (log-ratio: ~1.58) in the proposed TSS model indicated that the spectral log-ratio may be sensitive to TSS of both low and high concentrations. We further applied the preferred model to retrieve TSS concentration from the MODIS 250-m images in turbid estuarial and clear coastal waters, and obtained a good mapping accuracy from the result (TSS)>31 mg/l:RMSE=38.6mg/l, MRE =24.7%, N=17; TSS ? 31mg/l :RMSE =2.1 mg/l, MRE=19.5 %, N=11). The vertex-based methodology of TSS model developed in the study is applicable in mapping TSS concentrations that are of a wide range variation in estuarine and coastal water bodies based on MODIS 250-m image, and as well to maximize its application potential due to high imaging frequency (two times during daytime) and appropriate space resolution of MODIS images. Therefore, the method can be used to detect the high temporal variability of TSS during tidal cycle. As such, the application of MODIS-water quality detection technology can be extended to coastal sediment movement.
Location: T E 15 New Biology Building.
Literature cited 1: Binding, C.E., Browers, D.G., Mitchelson-Jacob, E.G., 2005. Estimating suspended sediment concentrations from ocean colour measurements in moderately turbid waters; the impact of variable particle scattering properties. Remote Sens.Environ. 94, 373-383. Binding, C.E., Jerome, J.H., Bukata, R.P., Booty, W.G., 2010. Suspended particulate matter in Lake Erie derived from MODIS aquatic colour imagery.Int.J.Remote Sens. 31 (19), 5239-5255.
Literature cited 2: Binding, C.E., Greenberg, T.A., Bukata, R.P., 2012. An analysis of MODIS-derived algal and mineral turbidity in Lake Erie.J.Great Lakes Res. 38 (1), 107-116. Caroline, P., Guillem, C., Francis, G., David, D., Jean-Marie, FG. , Yolanda, S., 2010. Estimating turbidity and total suspended matter in the Adour River plume (South Bay of Biscay) using MODIS 250-m imagery. Cont.Shelf Res. 30, 379-392.

ID: 60602
Title: Hierarchical extraction of urban objects from mobile laser scanning data.
Author: Bisheng Yang, Zhen Dong, Gang Zhao, Wenxia Dai.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 99 45-57 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Mobile laser scanning, Multi-scale supervoxel, Segmentation, Object extraction, Classification, Filtering.
Abstract: Point clouds collected in urban scenes contain a huge number of points (e.g., billions), numerous objects with significant size variability, complex and incomplete structures, and variable point densities, raising great challenges for the automated extraction of urban objects in the field of photogrammetry, computer vision, and robotics. This paper addresses these challenges by proposing an automated method to extract urban objects robustly and efficiently. The proposed method generates multi-scale supervoxels from 3D point clouds using the point attributes (e.g., principal direction, colors) of the supervoxels .The proposed method defines a set of rules for merging segments into meaningful units according to types of urban objects and forms the semantic knowledge of urban objects for the classification of objects .Finally, the proposed method extracts and classifies urban objects in a hierarchical order ranked by the saliency of the segments. Finally, the proposed method extracts and classifies urban objects in a hierarchical order ranked by saliency of segments. Experiments show that the proposed method is efficient and robust for extracting buildings, streetlamps, trees, telegraph poles, traffic signs, cars and enclosures from mobile laser scanning (MLS) point clouds, with an overall accuracy of 92. 3 %.
Location: T E 15 New Biology Building.
Literature cited 1: Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Susstrunk, S. 2012. SLIC superpixels comopared to state-of -the -art superpixel methods .IEEE Trans. Pattern Anasl.Mach.Intell. 34, 2274-2282. Aijazi, A.K., Checchin, P., Trassoudaine, L., 2013. Segmentation based classification of 3D urban point clouds: a super-voxel based approach with evaluation. Remote Sens. 5, 1624-1650.
Literature cited 2: Barnea, S., Filin, S., 2013 .Segmentation of terrestrial laser scanning data using geometry and image information. ISPRS J. Photogramm.Remote Sens.76, 33-48. Boyko, A., Funkhouser, T., 2011. Extracting roads from dense point clouds in large scale urban environment. ISPRS J. Photogramm.Remote Sens. 66, S2-S12.

ID: 60601
Title: A generic discriminative part-based model for geospatial object detection in optical remote sensing images.
Author: Wanceng Zhang, Xian Sun, Hongqi Wang, Kun Fu.
Editor: Derek Lichti
Year: 2015
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: PHOTOGRAMMETRY AND REMOTE SENSING Vol 99 30-44 (2015)
Subject: Photogrammetry and Remote Sensing
Keywords: Geospatial object detection, Part-based model, Rotation invariance, Deformation feature.
Abstract: Detecting geospatial objects with complex structure has been explored for years and it is still a challenging task in high resolution optical remote sensing images (RSI) interpretation. In this paper, we mainly focus on the problem of rotation variance in detecting geospatial objects and propose a generic discriminative part-based model (GDPBM) to build a practical object detection framework. In our model, a geospatial object with arbitrary orientation is divided into several parts and represented via three terms: the appearance features, the spatial deformation and the rotation deformation features. The appearance features characterize the local patch appearance of the object and parts, and we propose a new kind of rotation invariant feature to represent the appearance using the local intensity gradients. The spatial deformation features capture the geometric deformation of parts by representing the relative displacements among parts. The rotation deformation features define the pose variances of the parts relative to the objects based on their dominant orientations. In generating the two deformation features, we introduce the statistic methods to encode the features in the category level. Concatenating the three terms of the features, a classifier based on the support vector machine is learned to detect geospatial objects. In the experiments, two datasets in optical RSI are used to evaluate the performance of our model and the results demonstrate its robustness and effectiveness.
Location: T E 15 New Biology Building.
Literature cited 1: Akcay, H.G., Aksoy, S., 2008. Automatic detection of geospatial objects using multiple hierarchical segmentations. IEEE Trans.Geosci.Remote Sens. 46 (7), 2097-2111. Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heymen, M., 2004. Muliresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information.ISPRS J. Photogramm.Remote Sens. 58 (3-4), 239-258.
Literature cited 2: Bhagavathy, S., Manjunath, B., 2006. Modeling and detection of geospatial objects using texture motifs.IEEE Trans.Geosci.Remote Sens.44 (12), 3706-3715. Bi, F., Zhu, B., Gao, L., Bian, M., 2012. A visual search inspired computational model for ship detection in optical satellite images. IEEE Geosci.Remote Sens.Lett. 9 (4), 749-753.