Optimal multi-look polarimetric speckle reduction and its effect on terrain classification

Author

Liu, Guoqing ; Huang, Shunji ; Torre, A. ; Rubertone, F.

Author_Institution

Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

3

fYear

1996

fDate

27-31 May 1996

Firstpage

1571

Abstract

This paper presents an multi-look polarimetric whitening filtering (MPWF) method to reduce the image speckle using complete multi-look polarimetric SAR data. The amount of speckle reduction achievable by using the MPWF is quantified particularly for nonhomogeneous scenes. Experimental results with NASA/JPL L-band 4-look polarimetric SAR data are given for illustration. With the class separability index, we show how the speckle reduction can improve the terrain classification performance, and the classification results with the speckle-reduced data are also given

Keywords

geophysical signal processing; image classification; interference suppression; optimisation; radar imaging; radar interference; radar polarimetry; radiofrequency interference; remote sensing by radar; speckle; synthetic aperture radar; L-band; MPWF; class separability index; image speckle; multi-look polarimetric whitening filtering; nonhomogeneous scenes; optimal multi-look polarimetric speckle reduction; polarimetric SAR; terrain classification; terrain classification performance; Availability; Covariance matrix; Information filtering; Information filters; L-band; Layout; Matrices; NASA; Scattering; Speckle;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1996.516734

Filename

516734