Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702904
