Title :
Adaptive filtering algorithms for SAR speckle reduction
Author :
Lu, Y.H. ; Tan, S.Y. ; Yeo, T.S. ; Ng, W.E. ; Lim, I. ; Zhang, C.B.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
Speckle noise in synthetic aperture radar (SAR) images reduces target feature detection. Two of the better known post-processing speckle suppression filters are the Lee (1986) and Kuan (1987) filters. The authors present modifications that have been made to the Lee and Kuan filters, such that there is an improvement in speckle suppression in regions of large back-scattering variations. Improvement over the original algorithms are illustrated using SEASAT images of Flevoland (Netherlands). Quantitative measures of performance for various types simulated terrain are also presented
Keywords :
adaptive signal processing; feature extraction; geophysical signal processing; geophysical techniques; radar imaging; radar signal processing; remote sensing by radar; speckle; synthetic aperture radar; Flevoland; Netherlands; SAR speckle reduction; SEASAT image; adaptive filtering algorithm; adaptive signal processing; feature extraction; geophysical measurement technique; land surface; noise reduction; post-processing speckle suppression filter; radar imaging; radar remote sensing; speckle suppression; synthetic aperture radar; target feature detection; terrain mapping; Adaptive filters; Additive noise; Filtering algorithms; Linear approximation; Mean square error methods; Noise reduction; Nonlinear filters; Speckle; Statistics; Taylor series;
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.1996.516246
