Performance Analysis of Filters to Wavelet for Noisy Remote Sensing Images

Abstract

In this paper, we have used Linear Imaging Self Scanning Sensor (LISS- III) remote sensing image data sets which are having four bands of Aurangabad region. For an empirical preprocessing work at lab an image is loaded and taken band image of spectral reflectance values and applied median 3x3, median 5x5, sharp 14, sharp 18, smooth 3x3, smooth 5x5 filters and the quality has been successfully measured. It gives better results than original noisy remote sensing image; therefore, the quality has been improved in all filters. Moreover to achieving high quality we have used multilevel 2D wavelet decomposion based on haar wavelet filter while applying various above filters on noisy remote sensing images, we can remove noise from remote sensing images at large level through multilevel 2D Wavelet decomposing based on haar wavelets over above filters has been proved successfully. Thus, this work plays significance important role in the domain of satellite image processing or remote sensing image analysis and its applications as a preprocessing work.