Title :
Noise-reduction algorithms for digital radar images and classification of remote sensed agricultural SAR images
Author :
Alparone, L. ; Benelli, G. ; Cappellini, V.
Author_Institution :
Dept. of Electr. Eng., Florence Univ., Italy
Abstract :
Digital techniques for image processing and automatic classification in remote-sensing applications are described. Some digital filters suitable for radar noise reduction are reviewed. A novel filtering algorithm for multiplicative noise rejection is then proposed. Some algorithms using the maximum-likelihood decision rule or the Euclidean distance are applied to preprocessed images for an automatic discrimination of agricultural crops. Microwave images obtained by means of synthetic aperture radars and collected during the European SAR 580 campaign are used to evaluate the performance of the filtering algorithms. Both single-band and two-band classification with a correct classification probability of over 95% were obtained
Keywords :
digital filters; filtering and prediction theory; interference suppression; picture processing; radar applications; remote sensing; Euclidean distance; agricultural SAR images; agricultural crops; automatic classification; classification probability; digital filters; digital radar images; digital techniques; filtering algorithms; image processing; maximum-likelihood decision rule; multiplicative noise rejection; noise reduction algorithms; radar noise reduction; remote sensing; single-band classification; synthetic aperture radars; two-band classification; Crops; Digital filters; Euclidean distance; Filtering algorithms; Image processing; Noise reduction; Radar imaging; Radar remote sensing; Remote sensing; Synthetic aperture radar;
Conference_Titel :
Electrotechnical Conference, 1989. Proceedings. 'Integrating Research, Industry and Education in Energy and Communication Engineering', MELECON '89., Mediterranean
Conference_Location :
Lisbon
DOI :
10.1109/MELCON.1989.50056
