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Change information extraction through image processing techniques

In this research work, an attempt has been made to study the ability of remote sensing data and some of the image processing techniques to map and monitor changes happened over a period of one year in an urban area. IRS 1B LISS II data pertaining to coastal city of Madras, India acquired in the month of April 93 and 94 were registered on each other using EASI/PACE image processing software. Band subtraction, PCA and fuzzy logic were then applied to create a new image showing changed and unchanged areas. MLC algorithm used to classify the images of 93 and this new image. To create change map, a simple procedural program was developed with modeling language of EASI/PACE image processing software. Based on the ground truth information the overall accuracy of classification was observed to be about 70 per cent. Results showed that in this urban area, major changes were observed to be from green areas to built-up area.