Urban Sprawl Classification Analysis Using Image Processing Technique in Geoinformation System

Urban Area has become peak attention around the world. Most of the countries are facing challenges in its growth, its impact and its resource management. Satellite images are used to monitor and control the growth of urban sprawl pattern. In this paper, satellite images of Salem city from Tamilnadu, India has been considered as a study area for the analysis. Histogram equalization has been applied to the lansat satellite image of Salem city. Followed with the feature extraction in signature method. The extracted features like Built-up land, Mining, Agriculture crop land, Agriculture follow Land, water bodies, Waste land, forest are applied to maximum likelihood classification technique. It provide better result as compared to other existing technique.Urban growth has been predicted and its direction for extension of land area has been identified. The detected changes are analyzed from the year 1973 to 2016.