Title :
Comparison of decompositions for pol-SAR image interpretation
Author :
Hellmann, M. ; Krogager, E.
Author_Institution :
Danish Defence Res. Establ., Copenhagen, Denmark
Abstract :
A unique option provided by fully polarimetric data is the possibility to separate scattering contributions of different nature. For this purpose several decomposition techniques have been derived, and are currently being applied to analyze and interpret polarimetric radar data. In this paper, various decompositions with applications to radar polarimetry are reviewed, and an attempt is made to assess their applicability to POLSAR data analysis, especially in relation to target identification and classification
Keywords :
geophysical signal processing; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; POLSAR; SAR; classification; decomposition; geophysical measurement technique; image interpretation; land surface; pol-SAR; radar imaging; radar polarimetry; radar remote sensing; synthetic aperture radar; target identification; terrain mapping; Anisotropic magnetoresistance; Covariance matrix; Entropy; L-band; Matrix decomposition; Radar polarimetry; Radar scattering; Reflection; Spatial resolution; Voltage;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.858104
