Review of various Change Detection Techniques for Hyperspectral Images
Change detection is the process of automatically identifying and analyzing regions that have undergone spatial or spectral changes from multi temporal images. Remote sensing is the most suitable technology used for change detection in many application areas. Hyperspectral remote sensing images deal with a large number of wavelength bands as compared to single band or multispectral images. Thus ample of spectral information provided by hyperspectral images present promising change detection performance. The main objective of this paper is to study the comparative analysis of various change detection techniques for hyperspectral images. This paper presents a review of advantages and limitations of different change detection techniques.