DocumentCode
143812
Title
Orientation angle estimation from PolSAR data using a stochastic distance
Author
Bhattacharya, Avik ; Muhuri, Arnab ; De, Shaunak ; Frery, Alejandro C.
Author_Institution
Centre of Studies in Resources Eng., Indian Inst. of Technol., Mumbai, Mumbai, India
fYear
2014
fDate
13-18 July 2014
Firstpage
3474
Lastpage
3477
Abstract
The angle of rotation (θ) of any object about the line of sight (LOS) is known as the polarization orientation angle (OA). The OA is found to be non-zero for undulating terrains and man-made targets oriented away from the radar LOS. This effect is more pronounced at lower frequencies (eg. L- and P-bands). The OA shift is not only induced by azimuthal slope but also by range slope. The OA shift increases the cross-polarization (HV) intensity and subsequently the co-variance or the coherency matrix becomes reflection asymmetric. Compensating this OA prior to any model-based decomposition technique for geophysical parameter estimation or classification is crucial. In this paper a new method has been proposed for OA estimation based on a stochastic distance. The OA is estimated by maximizing the Hellinger distance between the un-rotated and rotated diagonal elements of the coherency matrix.
Keywords
geophysical techniques; parameter estimation; radar polarimetry; synthetic aperture radar; terrain mapping; HV intensity; Hellinger distance; L-band; OA estimation; OA shift; P-band; POLSAR data orientation angle estimation; coherency matrix; cross-polarization intensity; geophysical parameter classification; geophysical parameter estimation; induced azimuthal slope; line-of-sight; lower frequency; man-made target; model-based decomposition technique; nonzero OA; object rotation angle; polarization OA; polarization orientation angle; radar LOS; range slope; reflection asymmetry; stochastic distance; un-rotated diagonal element; undulating terrain; DH-HEMTs; Estimation; Scattering; Stochastic processes; Synthetic aperture radar; Synthetic aperture radar; polarization orientation angle; radar polarimetry; stochastic distance;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947230
Filename
6947230
Link To Document