Title :
On the statistics of polarimetric synthesized images
Author :
De Grandi, G. ; Neary, E. ; Lee, J.S. ; Schuler, D.
Author_Institution :
Inst. for Remote Sensing Appls., Eur. Union Comm. Joint Res. Center, Ispra, Italy
Abstract :
Presents selected results of a study on the statistical properties (to the first order) of the polarimetric radar signal, when it is represented in a vector basis other than the (H,V) basis (polarimetric synthesis). The concept of polarimetric texture signature is introduced, which is a convenient tool to represent in condensed form the statistical properties of the synthesized backscattered power. Experimental results are then reported, where the authors observe a modulation of the second normalized moment at different polarization configurations. In order to explain some of the trends in the polarimetric texture, they resort to a Monte Carlo simulation. Also some considerations are made on the closed form PDF of the intensity of the cross-polarized channel, when the covariance matrix is transformed by the polarization synthesis. Finally the authors hint to an on-going investigation based on texture modeling, to verify the statistical behavior of the underlying radar reflectivity in a depolarizing random target
Keywords :
Monte Carlo methods; geophysical signal processing; geophysical techniques; image texture; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; Monte Carlo simulation; SAR imaging; closed form PDF; covariance matrix; depolarizing random target; geophysical measurement technique; image texture; land surface; polarimetric synthesized image; polarimetric texture signature; radar imaging; radar polarimetry; radar remote sensing; statistics; synthesized backscattered power; synthetic aperture radar; terrain mapping; vector basis; Antenna measurements; Covariance matrix; Polarization; Radar applications; Radar imaging; Radar polarimetry; Radar remote sensing; Radar scattering; Reflectivity; Remote sensing; Signal synthesis; Statistics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521767