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Special Issue Article Open Access
The objective of this paper is to develop a procedure for change detection which is less sensitive to problems caused by misregistration, atmospheric effects and variations in vegetation phenology. If accurate registration between images is not achieved, spurious differences will be detected merely because the land surface properties at wrong locations are evaluated instead of real changes at the same location between one time and another. This project uses satellite images with a spatial resolution of 30 meters. Change Detection Algorithm named Wavechange is used to determine the changes that occurred in Madurai between the years 1996 to 2004. The procedure is based on redundant wavelet transform. Wavelet correlation is explored by taking point wise products of adjacent scales in order to enhance coefficients due to changes and smooth out noises. Local maxima are detected on the product spaces at varying spatial resolutions. The results showed that the method is not sensitive to geometric and radiometric misregistrations because of the multiresolution approach to feature extraction. The results are simulated using MATLAB.(Version 7).
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