DocumentCode
3536858
Title
Polarimetric scattering feature estimation for accurate vegetation area classification
Author
Sato, Ryoichi ; Yamaguchi, Yoshio ; Yamada, Hiroyoshi
Author_Institution
Fac. of Educ., Niigata Univ., Niigata, Japan
Volume
3
fYear
2009
fDate
12-17 July 2009
Abstract
This paper proposes an accuracy improvement of the vegetation area classification based on the POLSAR image analysis, when vegetation and man-made areas are both included in the radar target region. Here we introduce a simple compensate polarimetric marker, T13 or T31, to accurately distinguish the unexpected scattering from the obliquely oriented man-made targets and the complex volume scattering generated from vegetation area. T13 or T31 is the (1, 3) or (3, 1) elements of the 3Ã3 averaged coherency matrix ([T]), and has not been effectively utilized in the general scattering power decomposition scheme. By appropriately utilizing T13 (T31), one can extract only the vegetation area from the mixed target region. It is verified from the detailed analysis that the proposed marker T13(T31) works well not only for Pi-SAR data but also for ALOS/PALSAR data.
Keywords
geophysical image processing; radar polarimetry; synthetic aperture radar; vegetation mapping; Advanced Land Observing Satellite data; POLSAR image analysis; Phased Array type L-band Synthetic Aperture Radar data; Polarimetric and Interferometric Airborne SAR; coherency matrix; man-made targets; polarimetric marker; polarimetric scattering feature estimation; polarimetric synthetic aperture radar; radar polarimetry; radar target region; scattering power decomposition; vegetation area classification; volume scattering; Image analysis; Image color analysis; Matrix decomposition; Monitoring; Radar imaging; Radar polarimetry; Radar scattering; Reflection; Urban areas; Vegetation mapping; ALOS/PALSAR; Pi-SAR; Radar polarimetry; polarimetric synthetic aperture radar (POLSAR); scattering power decomposition; vegetation area classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417912
Filename
5417912
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