ID: 58747
Title: "The energy-storage age will begin after 2020"
Author: Uwe Leprich
Editor: Jorg-Rainer Zimmermann.
Year: 2013
Publisher: German Wind Energy Association
Source: Centre for Ecological Sciences
Reference: New Energy No.4, 65570, 50 (2013)
Subject: New Energy
Keywords: Energy-storage, cost-effective, storage-systems, Grid-balancing.
Abstract: Energy storage requires a systemic approac. As the system still has a relatively high degree of flexibility, which is more cost effective to harness than new storage systems are the most expensive solution. Grid-balancing options are cheaper. In addition, output can be restricted with in the existing pool of power plants. Load management is another option. These possibilities are significantly under-exploited. Energy-storage systems are further down the road.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58746
Title: Robust Affine-Invariant Line Matching for High Resolution Remote Sensing Images.
Author: Min Chen, Zhenfeng Shao.
Editor: Russell G Congalton
Year: 2013
Publisher: James R Plasker, ASPRS
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering and Remote Sensing Vol. 79(no.8), pp 753-760 (2013)
Subject: Photogrammetric Engineering and Remote Sensing
Keywords: Robust, Affine-Invariant Line Matching, High Resolution Remote Sensing Images.
Abstract: Point-based matching methods usually hold limitation in dealing with low texture scenes. In this paper, a robust affine-invariant lines matching method is proposed. The method commences with line segments extraction. All the extracted line segments are grouped into salient lines and general lines. Accordingly, the matching procedure includes salient lines matching and general lines matching. In salient lines matching, affine-invariants are calculated and the matched salient lines correspondences are the basis of the general lines matching. Each general line is clustered into a matched salient line according to a certain rule. Taking each salient line as the root , together with all the general lines clustered to it, a control network is constructed. Finally, the general lines matching procedure is performed between the two subnetworks whose roots are correspondences. Experimental results show that our proposed method can successfully process local distortion and improve the matching performance in low texture areas.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58745
Title: Registration of Aerial Imagery and Lidar Data in Desert Areas Using the Centroids of Bushes as Control Information.
Author: Na Li, Xianfeng Huang, Fan Zhang, Le Wang.
Editor: Russell G Congalton
Year: 2013
Publisher: James R Plasker, ASPRS
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering and Remote Sensing Vol. 79(no.8), pp 743-752 (2013)
Subject: Photogrammetric Engineering and Remote Sensing
Keywords: Aerial Imagery, Lidar Data, Desert Areas, Centroids, bushes, Control Information.
Abstract: Geometric registration of multiple-source data is of great value for fusion processing and is very beneficial for the research of desert ecosystems. A lidar point cloud and optical image are two typical data that need to be integrated for data assimilation and information retrieval. This paper aims to solve the registration problem of aerial imagery and airborne lidar data in deserts, such as the Sahara in Africa and Gobi in China, we observe that there are unevenly distributed desert bushes, which can be used as cues for registration. In this paper, we propose a registration approach using the centroids of bushes as registration primitives. This approach employs similar triangles created from both centroids as the evidence for matching and verifies the registration by the RANSAC algorithm. Experiments using data taken from the Dunhuang Gobi Desert in China show the registration surface model visually, and at the same time quantifies the deviation error, which corrobates that the proposed registration method is effective and feasible in desert areas.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58744
Title: Registration of Optical Images with Lidar Data and its Accuracy Assessment
Author: Shunyi Zheng, Rongyong Huang, Yang Zhou
Editor: Russell G Congalton
Year: 2013
Publisher: James R Plasker, ASPRS
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering and Remote Sensing Vol. 79(no.8), pp 731-741 (2013)
Subject: Photogrammetric Engineering and Remote Sensing
Keywords: Optical Images, Lidar Data, Accuracy Assessment.
Abstract: Photogrammetry and lidar are two technologies complementary for 3D reconstruction. However, the problem is that the current registration methods of optical images with lidar data cannot satisfy all the requirements for the fusion of the above two technologies, especially for close-range photogrammetry and terrestrial lidar. In this paper, we propose a novel method for registration of optical images with terrestrial lidar data, which is implemented by minimizing the distances from the photogrammetric matching points to terrestrial lidar data surface, with the collinearity equation as the basic mathematical model. One advantage of this method is that it requires no feature extraction and segmentation from the lidar data. Another advantage is that non-rigid deformation caused by lens distortion can be eliminated through the use of bundle adjustment similar to self-calibration. In addition, experiments with two different data sets show that this method cannot only eliminate the influence of certain gross errors, but also offer high accuracy of 3 mm to 5 mm. Therfore, the proposed registration method is proved to be more effective, accurate, and reliable.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58743
Title: A Coarse Elevation Map-based Registration Method for Super-resolution of Three-line Scanner Images.
Author: Rongjun Qin, Jianya Gong, Hongli Li, Xianfeng Huang
Editor: Russell G Congalton
Year: 2013
Publisher: James R Plasker, ASPRS
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering and Remote Sensing Vol. 79(no.8), pp 717-730 (2013)
Subject: Photogrammetric Engineering and Remote Sensing
Keywords: Coarse Elevation, Map-based Registration Method, Super-resolution, Three-line Scanner Images.
Abstract: Three-line scanner imagery provides three overlapped images in an along-base direction, and creates a possible avenue to obtain higher quality images through the application of the super-resolution. Accurate co-registration of the three images is a key step for super-resolution. However, discontinuities and occlusions resulting from the 3D-to-2D projection cause mis registration in traditional 2D-image-level co-registration methods. In this paper, we address this problem by introducing 3D information extracted from image triplets by using GPS/IMU data as an approximation. The core of the proposed method is to use a number of height layers derived from feature points and image partitions , in the form of a coarse elevation map (CEM), as a 3D constraint to restrict registration on the corresponding height. In terms of super-resolution, we also propose a tree-based fast adaptive template matching method for Knife-edge detection to fully automate the SRKE super-resolution algorithm. Experimental results show that the proposed method produces improved registered images and accordingly yields significant resolution enhancement as compared to other methods.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58742
Title: A Methodology to Characterize Vertical Accuracies in Lidar-derived Products at Landscape Scales.
Author: Wade T Tinkham, Chad M Hoffman, Michael J Falkowski, Alistair M S Smith, Hans-Peter Marshall, Timothy E Link.
Editor: Russell G Congalton
Year: 2013
Publisher: James R Plasker, ASPRS
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering and Remote Sensing Vol. 79(no.8), pp 709-716 (2013)
Subject: Photogrammetric Engineering and Remote Sensing
Keywords: Light detection, Vertical Accuracies, Lidar-derived products, Landscape Scales.
Abstract: Light detection and ranging (lidar) is the premier technology for high-resolution elevation measurements in complex landscapes. Lidar error assesments allow for objective interpretation of Digital Elevation Models (DEMs) and products reliant on these layers. The purpose of this study is to spatially estimate the vertical error of a lidar-derived DEM across seven cover types through modeling of field survey data. We use thirty-four variables and ground based field survey data in a Random Forest regression to predict elevation error. Four variables relevant to the distribution of returns within the vegetation and one relating to the terrain form.Good agreement was observed when comparing the survey against the model predictions (?=-0.02m, s=0.13m, and RMSE=0.14m). With most lidar products reliant upon accurate production of DEMs, providing spatially explicit assessments of uncertainity at the landscape level will increase user aonfidence in lidar products.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58741
Title: Range Image Techniques for Fast Detection and Quantification of Changes in Repeatedly Scanned Buildings.
Author: Zhizhong Kang, Liqiang Zhang, Huanyin Yue, Roderik Lindenbergh.
Editor: Russell G Congalton
Year: 2013
Publisher: James R Plasker, ASPRS
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering and Remote Sensing Vol. 79(no.8) (2013)
Subject: Photogrammetric Engineering and Remote Sensing
Keywords: Range image techniques, Fast detection, Quantification of changes, Repeatedly scanned buildings.
Abstract: This paper proposes a new method for the detection and quantification of changes in buildings using terrestrial laser scanning data from different epachs. A refined registration process is implemented that utilizes an optimized version of the Iterative Closest Point (ICP) algorithm, which implements the search of adjacent points in terms of their scanning angles. For detecting changes, a novel 2D angular difference histogram is proposed to first determine point segments representing building parts from the raw scattered scans. Afterwards, Hausdorff distance-based change detection is innovatively integrated into the optimized ICP process to improve the efficiency of the entire algorithm. The detected changes are quantified in the final step by determining the total planer surface area of the changed facade. This approach is tested and illustrated on two real datasets. The change quantification results show that the accuracy of the changed area quantification is in the order of square centimeters.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58740
Title: Fragmentation of Uttara Kannada Forests.
Author: T V Ramachandra, M D Subhash Chandran, N V Joshi, Bharath Setturu.
Editor: None
Year: 2013
Publisher: IISC
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report:57 (2013)
Subject: Sahyadri Conservation Series 29
Keywords: Land use dynamics, Forest Fragmentation, interior forests, biodiversity, Uttara Kannada, Karnataka, Forests.
Abstract: Landscapes are composed of interacting dynamic components with complex ecological, economic, and cultural qualities on which human and other life forms depend directly. Landscape is herterogeneous land area of interacting systems which forms an interconnected system called ecosystem. The functional aspects (interaction of spatial elements, cycling of water nutrients, bio-geo-chemical cycles) of an ecosystem depends on its structure (size, shape, and configuration) and constituents spatial patterns (Linear, regular and aggregated). Large, contiguous forests are divided in a manner that leaves relatively small, isolated patches of forest (known as forest fragments or forest remnants), either by natural phenomenon or by anthropogenic activities involving construction of roads, clearing for agriculture, implementation of developmental projects or human habitations. Fragmentation of forests leads to the decline of biodiversity due to the inability of individual forest fragments to support viable populations, the local extinction of species due to inbreeding pressure, and edge effects altering the conditions of the outer areas of the fragment, greatly reducing the amount of true forest interior habitat.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58739
Title: Land Use Changes with the Implementation of Developmental Projects in Uttara Kannada District.
Author: T V Ramachandra, M D Subhash Chandran, N V Joshi, Bharath Setturu.
Editor: None
Year: 2013
Publisher: IISC
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report:61 (2013)
Subject: Sahyadri Conservation Series 31
Keywords: Land Use, Forest ecosystems, Developmental Projects, Uttara Kannada, Karnataka,
Abstract: Forest ecosystems in Uttara Kannada district have witnessed major transformations during the post-independence. Uttara Kannada district has the distinction of having highest forest cover among all districts of Karnataka. Land use analysis using temporal remote sensing data reveal distressing trend of deforestation in the district, evident from the reduction of evergreen - semi evergreen forest cover from 67.73%(1973) to 32.08%(2013). Taluk-wise analyses reveal similar trend for evergreen - semi evergreen forest cover during 1973 to 2013; Ankola (75.66 to 55.33%), Bhatkal (61.37 to 30.38%), Honnavar (70.63 to 35.71%), Karwar(72.26 to 59.70%), Kumta (62.89 to 29.38%), Siddapur (71.42 to 23.68%), Sirsi (64.89 to 16.78%), Supa (93.56 to 58.55%), Yellapur (75.28 to 18.98%), Haliyal (35.45 to 2.59%), Mundgod (2063 to 1.52). Forest cover has declined from 81.75 (1973) to 60.98% (2013) in the coastal zone, 91.45 (1973) to 59.14%(2013) in the Sahyadrian interior, and 69.26 (1973) to 16.76% (2013) in plains zone. Implementation of developmental activities without taking into account the ecological significance of ecosystems, services provided by them in meeting the livelihood of local population has resulted in the degradation of forests. These changes in the landscape structure (through large scale land use changes) have altered functional abilities of an ecosystem evident from lowered hydrological yeild, dissappearing perennial streams, higher instances of human-animal conflicts, declined ecosystem goods, etc. This necessitates the restoration of native forests in the region to ensure water and food security apart from livelihood of the local people. About 62814.48 Ha of forest land is diverted for various non-forestry activities during the post-independence period. About 7071.68 Ha of forest area has been enroached for agriclture, horticulture activities, etc. Maximum enroachments of forest land are in Sirsi, Honnavar forest divisions i.e., 3641.66 Ha and 1851.93 Ha respectively. An appropriate policy framework is required to prevent further enroachments of forest land and ensure sustainable management of natural resources.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58738
Title: Estuarine Fish Diversity and Livelihood in Uttara Kannada District, Karnataka State
Author: T V Ramachandra, M D Subhash Chandran, N V Joshi, Mahima Bhat, Prakash N Mesta, Sreekanth Naik
Editor: None
Year: 2013
Publisher: IISC
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report:64 (2013)
Subject: Sahyadri Conservation Series 34
Keywords: Estuarine Fish Diversity, Livelihood, Uttara Kannada, Karnataka,
Abstract: Estuaries are zones of transition between river and ocean environments and are subject to both riverine and marine influences, such as tides, waves, and the influx of saline water. The freshwater brought in by rivers mixes with seawater in the estuary. These transitional zones between river and sea are home to several taxonomic groups of fishes and many are of commercial importance. From the fishery development perspective they have high potential as grounds for feeding, spawning and nursery areas for several kinds of fin fishes and shellfishes. Most of coastal aquaculture activities depend on estuaries as centers of seed collection. The fluctuation of physio-chemical characters in estuarine environment has a profound influence on the seasonal occurence of the juveniles and fish stocks. Estuaries are ranked among the highest productive ecosystems of the world.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58737
Title: Floristic Diversity in Uttara Kannada District, Karnataka State, Central Western Ghats.
Author: T V Ramachandra, M D Subhash Chandran, N V Joshi, G R Rao, Vishnu D Mukhri, Sumesh N Dudani, C Balachandran, Prakash N Mesta, Sreekanth Naik
Editor: None
Year: 2013
Publisher: IISC
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report:62 (2013)
Subject: Sahyadri Conservation Series 32
Keywords: Floristic Diversity, Uttara Kannada, Karnataka, Central Western Ghats.
Abstract: The forest are valuable resources on innumerable counts viz. as sources of various useful products to humans, for their environmental and ecosystem services (soil and water conservation, regulation of water flow, carbon sequestration, nutrient cycling, etc.) and as centres of biodiversity. Out of the total 329 milliion ha land area of India, 43% is under cropping and 23% classified as forests. The total area of forest cover in India, as per the latest assessment is about 692,027 km? or 21.05% of the total geographical area.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58736
Title: Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge.
Author: Adrein Gressin, Clement Mallet, Jerome Demanke, Nicolas David
Editor: Derek Lichti
Year: 2013
Publisher: Elsevier B. V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry & Remote Sensing Vol. 79, pp. 240-251 (2013)
Subject: ISPRS Journal of Photogrammetry & Remote Sensing
Keywords: Point cloud, Registration, ICP, Eigenvalues, Dimensionality, Neighborhood, Change detection
Abstract: Automatic 3D point cloud registration is a main issue in computer vision and remote sensing. One of the commonly adopted solution is the well-known Iterative Closest Point (ICP) algorithm. This standard approach performs a fine registration of two overlapping point clouds by iteratively estimating the transformation parameters, assuming good a priori alignment is provided. A large body of literature has proposed many variations in order to improve each step of the process (name selecting, matching, rejecting, weighting and minimizing). The aim of this paper is to demonstrate how the knowledge of the shape that best fits the local geometry of each 3D point neighborhood can improve the speed and the accuracy of each of these steps. First we present the geometrical features that form the basis of this work. These low-level attributes indeed describe the ngighborhood shape around each 3D point. They allow to retrieve the optimal size to analyze the neighborhood at various scales as well as the priviliged local dimension (linear, planar, or volumetric). Several variations of each step of the ICP process are then proposed and analyzed by introducing these features. Such variants are compared on real datasets with the original algorithm in order to retrieve the most the most efficient algorithm for the whole process. Therefore, the method is successfully applied to various 3D lidar point clouds from airborne, terrestrial, and mobile mapping systems. Improvement for two ICP steps has been noted, and we conclude that our features may not be relevant for very dissimilar object samplings.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58735
Title: Region-based automatic building and forest change detection on Cartosat-1 stereo imagery
Author: J Tain, P Reinartz, P d ' Angelo, M Ehlers.
Editor: Derek Lichti
Year: 2013
Publisher: Elsevier B. V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry & Remote Sensing Vol. 79, pp. 226-239 (2013)
Subject: ISPRS Journal of Photogrammetry & Remote Sensing
Keywords: Stereo imagery, Digital Surface Model (DSM), Change detection, Forest change, Industrial area change.
Abstract: In this paper a novel region-based method is proposed for change detection using space borne panchromatic Cartosat-1 stereo imagery. In the first step, Digital Surface Models (DSMs) from two dates are generated by semi-global matching. The geometric lateral resolution of the DSMs is 5m ? 5m and the height accuracy is in the range of approximately 3m (RMSE). In the second step, mean-shift segmentation is applied on the orthorectified images of two dates to obtain initial regions. A region intersection following a merging strategy is proposed to get minimum change regions and multi-level change vectors are extracted for these regions. Finally change detection is achieved by combining these features with the weighted change vector analysis. The results evaluations demonstrate that the applied DSM generation method is well suited for Carosat-1 imagery, and the extracted height values can largely improve the change detection accuracy, moreover it is shown that the proposed change detection method can be used robustly for both forest and industrial areas.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58734
Title: Exterior orientation of CBERS-2B imagery using multi-feature control and orbital data.
Author: J Marcato Junior, A M G Tommaselli.
Editor: Derek Lichti
Year: 2013
Publisher: Elsevier B. V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry & Remote Sensing Vol. 79, pp. 219-225 (2013)
Subject: ISPRS Journal of Photogrammetry & Remote Sensing
Keywords: Pushbroom, Satellite, Orientation, Triangulation, Straight lines.
Abstract: The major contribution of this paper relates to the practical advantages of combining Ground Control Points (GCPs), Ground Control Lines (GCLs) and orbital data to estimate the exterior orientation parameters of images collected by CBERS-2B (China-Brazil Earth Resources Satellite) HRC (High-resolution Camera) and CCD (High-resolution CCD Camera) sensors. Although the CEBRS-2B is no longer operational, its images are still being used in Brazil, and next gernerations of the CBERS satellite will have sensors with similar technical features, which motivates the study presented in this paper. The mathematical models that relate the object and image spaces are based on collinearity (for points) and coplanarity (for lines) conditions. These models were created in an in-house developed software package called TMS (Triangulation with Mulltiple Sensors) with multi-feature control (GCPs and GCLs). Experiments on a block of four CBERS-2B HRC images and on one CBERS-2B CCD image were performed using both models. It was observed that the combination of GCPs and GCLs provided better bundle block adjustment results than conventional bundle adjustment using only GCPs. The results also demonstrate the advantage of using primarily orbital data when the number of control entities is reduced.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58733
Title: A Gaussian elimination based fast endmember extraction algorithm for hyperspectral imagery
Author: Xiurui Geng, Zhengqing Xiao. Luyan Ji. Yongchao Zhao, Fuxiang Wang.
Editor: Derek Lichti
Year: 2013
Publisher: Elsevier B. V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry & Remote Sensing Vol. 79, pp. 211-218 (2013)
Subject: ISPRS Journal of Photogrammetry & Remote Sensing
Keywords: Hyperspectral data, Endmember, Gaussian elimination.
Abstract: A fast endmember-extraction algorithm based on Gaussian Elimination Method (GEM) is proposed in this paper under the fact that a pixel is an endmember if it has the maximum value in any spectral band of a hyperspectral image when based on linear mixing model. Applying Gaussian elimination is much like performing a lower triangular matrix to transform the hyperspectral image. As more endmembers have been extracted, fewer bands are needed to be involved in the Gaussian elimination process, thus greatly reducing the computing time. The experimental results with both simulated and real hyperspectral images indicate that the method proposed here is much faster than the vertex component analysis (VCA) method, and can provide a similar performance with VCA.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None