SAR IMAGE ANALYSIS FOR MICROWAVE C-BAND FINE QUAD POLARISED RADARSAT-2 USING DECOMPOSITION AND SPECKLE FILTER TECHNIQUE

Abstract

The Synthetic Aperture Radar (SAR) image is a type of radar image which can be acquired by satellite at any time; day or night, though there is a change in weather condition or heaviest rainfall. In the field of remote sensing SAR image analysis is the need of the World. In this paper RADARSAT-2 C-Band fully polarimetry SAR data is used. But it was in SLC (single look complex) format i.e. level 1 and was not geocoded. Hence, for image analysis, the decomposition technique is used to extract the any object on the earth. But though it is decomposed and geocoded, speckle noise is still the major problem in SAR images which degrades the quality of images. Because of speckle noise the analysis of the image is difficult. The speckle noise can be removed by using different types of filters. Hence the speckle noise reduction helps in preprocessing due to that the overall visibility of SAR image increases. In this paper experimentalresult demonstrates the comparative study of image analysis with and without noise filter. The objective of this paper work is to produce RGB image i.e. level 2 for analysis so that processed image is much better than selected an original SAR image.