Land cover classification from multifrequency polarimetric synthetic aperture radar data using wavelet-based textural information

Author

Fukuda, Seisuke ; Hirosawa, Haruto

Author_Institution

Inst. of Space & Astron. Sci., Kanagawa, Japan

Volume

1

fYear

1998

fDate

6-10 Jul 1998

Firstpage

357

Abstract

A classification scheme of land covers in SAR images using wavelet-based textural information is presented. The proposed scheme treats multifrequency polarimetric data. Extraction of texture features, polarization selection, feature reduction, and so on, are discussed. The scheme has been successfully applied to the Flevoland site

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image classification; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; wavelet transforms; Flevoland site; SAR; feature extraction; feature reduction; geophysical measurement technique; image classification; image texture; land cover classification; land surface; multifrequency radar polarimetry; polarization selection; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; wavelet-based textural information; Data mining; Feature extraction; Frequency; Image analysis; Image texture analysis; Pipelines; Polarimetric synthetic aperture radar; Polarization; Radar imaging; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.702904

Filename

702904