Title :
Analysis of MAP speckle suppression algorithms
Author :
Zaitsev, V.V. ; Zaitsev, V.V.
Author_Institution :
NPO Mashinostroenia, Reutov, Russia
Abstract :
The goal of the paper is to analyze filters based on MAP approach which use for speckle suppression of SAR images. Special attention is paid to such property of MAP estimate as a bias. Effect of bias reduction when number of looks increases is shown. New equations for MAP estimate expected a bias are suggested. The NMMAP filter that is a modification of MAP filter is proposed for point and multiple targets filtering. SIR-C SAR image has been used for the testing of filters
Keywords :
geophysical signal processing; geophysical techniques; maximum likelihood estimation; radar imaging; radar signal processing; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; MAP estimation; MAP filter; MAP speckle suppression algorithm; NMMAP filter; SAR image; SIR-C; bias reduction; filter; geophysical measurement technique; land surface; look number; multiple target filtering; radar imaging; radar remote sensing; spaceborne radar signal processing; synthetic aperture radar; terrain mapping; Algorithm design and analysis; Backscatter; Covariance matrix; Equations; Filtering; Filters; Filtration; Image edge detection; Speckle; Statistics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516341
