Change Vector Analysis using Enhanced PCA and Inverse Triangular Function-based Thresholding

  • Munmun Baisantry Defence Electronics Applications Laboratory, Dehradun
  • D. S. Negi Defence Electronics Applications Laboratory, Dehradun
  • O. P. Manocha Defence Electronics Applications Laboratory, Dehradun
DOI: https://doi.org/10.14429/dsj.62.1072
Keywords: Change vector analysis, principal component difference, inverse triangular function, Kauth-Thomas transformation

Abstract

Change vector analysis is a very sophisticated method to evaluate land-use/land-cover changes meaningfully. By making proper choice of input data in the form of bands (for instance, red, NIR etc) or features (for instance, greenness, brightness, wetness etc), information about both the magnitude as well as the type/nature of changes can be extracted. However, improper selection of thresholds is always a hindrance to a good change detection algorithm. The paper has proposed an improved technique to select threshold appropriately by means of principal component difference and inverse triangular function. The changes have been represented using class-based circular wheel representation. Results have been shown to further testify the performance of proposed algorithm.

Defence Science Journal, 2012, 62(4), pp.236-242, DOI:http://dx.doi.org/10.14429/dsj.62.1072

Author Biographies

Munmun Baisantry, Defence Electronics Applications Laboratory, Dehradun
Ms Munmun Baisantry obtained her BE (Electronics and Communications) from Netaji Subhas Institute of Technology in 2009. Presently, working as a Scientistin the Defence Electronics Applications Laboratory (DEAL), Dehra Dun. Her research interests include : Radiometric normalization, image change detection, image fusion and object-based image analysis.
D. S. Negi, Defence Electronics Applications Laboratory, Dehradun
Dr Devendra Singh Negi received his MSc (Mathematics) from DAV Post Graduate College, Dehra Dun in 1987. Receivedhis PhD in Applied Mathematics (ImageProcessing) from Garhwal University, Srinagar, Uttaranchal in 2007. His research interests include : Object-based image analysis, applications development. Heis a Life member of Indian Society of Remote Sensing.
O. P. Manocha, Defence Electronics Applications Laboratory, Dehradun
Mr Om Prakash Manocha received his MSc (Physics) from DAV Post Graduate College, Dehra Dun in 1982. His research interests include : Object-based imageanalysis, change detection, and analysis application and image fusion. He is Life member of Indian Society of Remote Sensing, Life Fellow of IETE.
Published
2012-07-03
How to Cite
Baisantry, M., Negi, D., & Manocha, O. (2012). Change Vector Analysis using Enhanced PCA and Inverse Triangular Function-based Thresholding. Defence Science Journal, 62(4), 236-242. https://doi.org/10.14429/dsj.62.1072
Issue
Vol 62 No 4
Section
Electronics & Communication Systems
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