NOISE-SUPPRESSION FILTERING OF RADAR AND SCANNER IMAGERY OF AGRICULTURAL LANDSCAPES

Abstract

Various digital filters (averaging, median, and frequency filters based on Fourier transforms) for noise-suppression filtering of scanning and radar images of the agricultural landscape are examined, using farmland of Voronezh Oblast and Krasnodar Kray as a case study. A composite filter has been developed for eliminating noise from strongly cluttered radar images, which causes only a slight distortion of agricultural features on the images.