Comparative Analysis of Various Change Detection Techniques For Hyperspectral Images

HYPERSPECTRAL remote sensing images provide highly detailed information on spectral changes so as to offer promising performance for change detection. It is an advancing technology with a wide range of applications. Change detection is the process of automatically analyzing the regions which are undergone some changes over specific time interval such as spatial or spectral changes. Discovering abnormalities in medical diagnosis, target reorganization, environmental conservation, urban planning, etc. are some of the relevant areas which make use of this.  This paper analyses various traditional as well as emerging techniques that efficiently detect changes in the images of same scene taken at different times and explores the suitability of each method for respective areas. This paper presents a review of mechanisms involved in various kinds of change detection techniques, their individual requirements, limitations, features and area of applications.