Despeckling of synthetic aperture radar images with optimization

Abstract

SAR imaging is the category of Coherent imaging system. SAR newlineimages are consisting of the multiplicative noise called speckle. This speckle newlinedegrades the quality of the image and reduces the fine details of the image. newlineBut SAR images have many applications like Crop production forecasting, newlineSea ice monitoring, Glacier monitoring, Forest fire monitoring, Ocean wave newlinespectra, Ship detection, Surface deformation detections and Monitoring newlinedisasters like Flood, Volcanic eruptions and Oil spills. Hence the first and newlineforemost step is to remove the speckle noise that exists in SAR image. newlineIn this thesis, the different despeckling techniques are newlineexplained. These methods remove the speckle present in SAR images and newlineenhance the fine details and feature extraction. This thesis explains about the newlinedifferent techniques adopted to despeckle the SAR images say, Spatial newlinefiltering, and Hybrid Spatial filtering and Transform domain filteing with newlineOptimization. In addition to this, it is explained about the different methods newlineof despeckling the SAR color images In this technique the basic Lee, Kuan and Frost are utilized in newlinedespeckling of SAR images. Even then after the removal of speckle the newlineimages are blurred and it is not clear. Hence to obtain better result, Hybrid newlineMean Median filters are applied. newline newline