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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947230