DocumentCode
410418
Title
Pi-SAR image analysis using polarimetric scattering parameters and total power
Author
Kimura, Koji ; Yamaguchi, Yoshio ; Yamada, Hiroyoshi
Author_Institution
Fac. of Eng., Niigata Univ., Japan
Volume
1
fYear
2003
fDate
21-25 July 2003
Firstpage
425
Abstract
This paper tries to classify POL-SAR image data using polarimetric entropy, averaged alpha angle, and total power. Using unsupervised classification scheme with iterative Maximum Likelihood (ML) classifier, it is possible to classify residential areas with trees and vegetation areas. The results are shown using Pi-SAR image data comparing with other representative methods.
Keywords
entropy; geophysical signal processing; image classification; maximum likelihood estimation; remote sensing by radar; synthetic aperture radar; terrain mapping; POL-SAR image; Pi-SAR image analysis; averaged alpha angle; image classification scheme; iterative maximum likelihood classifier; polarimetric entropy; polarimetric scattering parameters; residential areas; vegetation areas; Anisotropic magnetoresistance; Cities and towns; Classification tree analysis; Eigenvalues and eigenfunctions; Entropy; L-band; Polarization; Scattering parameters; Urban areas; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1293797
Filename
1293797
Link To Document