Satellite Image Enhancement Optical and Sar Image Fusion for Lulc Application: Comprehensive Review for State of Art.

Abstract

Satellite Image Enhancement is important things in remote sensing. In LULC application, many field is covered like agriculture monitoring, forest monitoring, Urban area development, disaster monitoring, etc. In this paper, image fusion of optical satellite and SAR satellite is focused. Optical satellite gives multi spectral high resolution only in day time images but due to high resolution mixed class pixel problem is occurred which reduce the accuracy of the actual object recognition. SAR satellite gives high resolution images in both day and night time and helps to monitor in all weather and good in cloud penetration but due to thermal energy, SAR has speckle noise problem which creates problem to classify images for recognition. And Image fusion is the trending techniques used in remote sensing for better results is describe in details in this paper. The motive of the paper is to review optical satellite images mixed class pixel problem, SAR satellite speckle noise problem and the image fusion techniques reviewed in this paper for LULC applications.