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Sequential Maximum a Posterior (SMAP) Algorithm for Classification of Urban Area using Multi-resolution Spatial Data with Derived Geographical Layers
 http://wgbis.ces.iisc.ernet.in/energy/
Uttam Kumar1,2,3          Anindita Dasgupta3          Chiranjit Mukhopadhyay1           T.V. Ramachandra2,3,4,*
1Department of Management Studies, 2Centre for Sustainable Technologies (astra), 3Centre for Ecological Sciences [CES],
4Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP], Indian Institute of Science, Bangalore – 560012, India.
*Corresponding author: cestvr@ces.iisc.ernet.in
OBJECTIVE

The objective of this work is to investigate the role of several ancillary and derived layers for high spatial-low spectral resolution IKONOS data and low spatial-high spectral resolution Landsat ETM+ data classification of an urban area with varying characteristics. The following questions are examined in the process of image classification:

  1. Does addition of vegetation indices such as NDVI and EVI increase or decrease classification accuracy?
  2. Does elevation and derived layers (slope and aspect) improve classification accuracy?
  3. Does texture has any role in proper identification of classes with better classification accuracy?
  4. How does temperature add to the classification accuracy when included in classification?
  5. Does addition of PAN band in addition to MS bands with other ancillary and derived layers prove useful in improving classification accuracy?

 

 

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Citation : Uttam Kumar, Anindita Dasgupta, Chiranjit Mukhopadhyay and Ramachandra. T.V., 2012, Sequential Maximum a Posterior (SMAP) Algorithm for Classification of Urban Area using Multi-resolution Spatial Data with Derived Geographical Layers., Proceedings of the India Conference on Geo-spatial Technologies & Applications, Department of Computer Science and Engineering, Indian Institute of Technology Bombay (IITB), April 12-13, 2012 , pp. 1-13.
* Corresponding Author :
Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, India.
Tel : +91-80-2293 3099/2293 3503-extn 107,      Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in,     Web : http://wgbis.ces.iisc.ernet.in/energy, http://ces.iisc.ernet.in/grass
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