Wavelet-based texture analysis for SAR image classification

Author

Chumsamrong, W. ; Thitimajshima, Punya ; Rangsanseri, Y.

Author_Institution

Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

Volume

3

fYear

1999

fDate

1999

Firstpage

1564

Abstract

A novel method for SAR image classification based on the stationary wavelet transform is described. First, a SAR image is decomposed into 4 subbands using the stationary wavelet transform. Each pixel is then represented by a 4-dimension vector those components are taken from the wavelet subbands. The pixels are finally classified into a small set of categories by using a parametric supervised classification algorithm. The classification using this wavelet transform was successfully applied to a JERS-1/SAR image

Keywords

geophysical signal processing; geophysical techniques; image classification; image texture; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; wavelet transforms; 4-dimension vector; SAR; SAR image; algorithm; geophysical measurement technique; image classification; image processing; image texture; land surface; parametric supervised classification; radar imaging; radar remote sensing; stationary wavelet transform; synthetic aperture radar; terrain mapping; wavelet; wavelet subband; wavelet-based texture analysis; Discrete wavelet transforms; Earth; Filter bank; Frequency; Image analysis; Image classification; Image texture analysis; Signal processing algorithms; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.772020

Filename

772020