A Review on Various Methods of Image Segmentation Based on Remote Sensing Applications

Information extraction in high-spatial resolution imagery has been the idea of many researchers all around the world. Several methods are used to inherit information from remote sensing data. The arrival of high-spatial resolution imagery necessitates new refined image processing algorithms for varied remote sensing applications such as segmentation of various regions in image. Image segmentation is defined as the process of isolating an image into non-overlapping and homogenous regions which is a necessary step toward higher level image processing namely automatic image interpretation, image analysis etc. Its performance decides the concluding result of a computer visual task. This paper surveys various methods which developed recently used for Remote sensing image segmentation. Each method is differentiated with other surveyed method and comparative measures of methods are presented which provides the merits and demerits of various image segmentation methods.