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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1293797
