Title :
A comprehensive evaluation of filters for radar speckle suppression
Author :
Sheng, Yongwei ; Xia, Zong-Guo
Author_Institution :
Dept. of Environ. Sci., Massachusetts Univ., Boston, MA, USA
Abstract :
This paper presents the result of a comprehensive evaluation of filters for radar speckle suppression. Seven filters in the Radar Module of Erdas/IMAGINE(R) were evaluated, including the mean filter, the median filter, the Lee-sigma filter, the local region filter, the Lee filter, the Frost filter, and the MAP (maximum a posteriori) filter. The performance of these filters was measured in terms of five criteria: speckle suppression index, edge enhancing index, feature preserving index (for both linear features and point features), image detail preserving coefficient, and speckle image analysis. Visual effect of filtered image and its filter theoretical basis were discussed. The relationship between filter performance and speckle patterns was also examined
Keywords :
interference suppression; maximum likelihood estimation; median filters; radar imaging; radar interference; radiofrequency interference; remote sensing by radar; speckle; Frost filter; Lee filter; Lee-sigma filter; MAP; Radar Module of Erdas/IMAGINE(R); edge enhancing index; feature preserving index; filter performance; image detail preserving coefficient; linear features; local region filter; maximum a posteriori filter; mean filter; median filter; point features; radar speckle suppression; speckle image analysis; Adaptive filters; Electronic mail; Gaussian distribution; Image edge detection; Low pass filters; Nonlinear filters; Radar detection; Radar imaging; Speckle; Visual effects;
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.1996.516730
