Image Segmentation Algorithm for feature recognition in Satellite Imageries – A case Study

Remote sensing and satellite information’s are very useful for the geospatial analysis of surface and subsurface features. In the modern day-to-day scenario, the landforms and its features to be monitored and managed is a very challenging one and Remote Sensing plays a crucial role in the society. Analysis of Satellite imageries using geospatial techniques is playing a vibrant role in the earth science system. Earth contains rivers, streams, tanks, water bodies as natural formations and delineating the features itself with the image segmentation algorithm is an elegant task over remote sensing imagery. Feature extraction and image segmentation are extensively used in the field of medicine for x-ray and scan images, satellite imaging, pattern identification, features and face interpretation and various applications of engineering.