Enhanced Edge Smoothing for SAR Data Using Image Filter Technique

Abstract

The SAR is usually corrupted by some surplus speckle formed. These speckles have multiplicative noise, which appears like a grainy pattern in the SAR image. This performs an accurate interpretation of SAR images. The aim of this work was to remove the noise and to accurately classify the LULC facts with quality evolution. The SAR images play an important key role in earth observation applications using high resolution for all-weather conditions and all times. The SAR images an effect of coherent handing out of a mixture of regions and uses a variety of applications like as crop estimation, Land Use Land Cover (LULC), one of the military application is that the target detection, etc. The SAR images are high-resolution LULC facts, and still, it includes the noise. The LULC images continuously for collecting. The traditional techniques (Lee Filter, Gamma Filter) which are in use are not effective to identify the LULC facts and features of the SAR images. These never remove all the noises in SAR images especially the noise like “salt and pepper.” Therefore, in this paper, the researcher proposes a new technique “Enhanced Discontinue Image Filter” which is window size based and effectively visualizes the SAR images with 89.1% accuracy to determine the ground truth value.