Study of salem city resource management using k-means clustering

Abstract

Satellite images are important to analyse the various objects and quantity of resource availability in different areas. It also useful to define the Land Use and Land Cover (LULC) regions. Similarly, U.S. Geological Survey (USGS) studied the worldwide natural resource changes in past and future century that affect the quality of life and natural environment. In India, due to population increases there is a drastic change in the land use, water body, environment etc., The objective of this study is helpful to segment the urban areas into land use and land cover regions and comparison is done in year wise manner. The proposed technique is used to study the growth and status of urban sprawl in Salem city. Initially pre-processing is done with mean shift filtering to reduce noise and for region smoothing. After that K-means clustering technique is applied to segment the images into different regions like vegetation area, building area and water body area then study the land use changes in Salem region during the period of 1973–2014. The segmentation of satellite image is coded and simulated using MATLAB R2012a.