Title :
A New Set of the Parameters for the Terrain Surface Classification in Polarimetric SAR Image Based on Deorientation of Polarimetric Scattering Vector
Author :
Jin, Ya-Qiu ; Xu, Feng
Author_Institution :
Key Lab. of Wave Scattering & Remote Sensing (Minist. of Educ.), Fudan Univ., Shanghai
fDate :
July 31 2006-Aug. 4 2006
Abstract :
Deorienation theory of polarimetric scattering targets is developed, which transforms the scattering vector of spatially oriented targets into a certain status with minimization of cross polarization. A new set of the parameters u,v,w,Psi is defined to describe and classify different terrain surfaces. Based on the vector radiative transfer (VRT) model of non-spherical particles above a rough surface, numerical simulations illustrate the parameters u,v,w,Psi and the entropy H. These parameters are applied to the unsupervised classification in polarimetric images. The terrain surfaces of polarimetric SIR-C and airborne SAR images are classified and orientation-analyzed.
Keywords :
airborne radar; geophysical signal processing; image classification; radar polarimetry; radiative transfer; remote sensing by radar; synthetic aperture radar; terrain mapping; airborne SAR images; cross polarization minimization; deorientation theory; polarimetric SAR image; polarimetric SIR-C; polarimetric scattering vector; terrain surface classification; vector radiative transfer model; Backscatter; Electromagnetic scattering; Entropy; Numerical simulation; Particle scattering; Polarization; Rough surfaces; Scattering parameters; Surface roughness; Surface waves;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.362
