Title :
Analysis of textured PolSAR data by shannon entropy
Author :
Eltoft, T. ; Doulgeris, A. ; Anfinsen, S.N.
Author_Institution :
Dept. of Phys. & Technol., Univ. of Tromso, Tromso, Norway
Abstract :
The Shannon entropy has previously been used in the analysis of polarimetric synthetic aperture radar (PolSAR) data, assuming a complex Gaussian distribution for the scattering vector. According to the maximum entropy characterization theorem, the deviation from Gaussian statistics can be quantified as a reduction of the Shannon entropy. This paper derives the Shannon entropy within the framework of the non- Gaussian, multivariate product model and discusses information theoretical interpretations. An experiment demonstrates the information contents associated with the non-Gaussian entropy component.
Keywords :
Gaussian distribution; data analysis; electromagnetic wave scattering; geophysical image processing; image texture; maximum entropy methods; radar imaging; radar polarimetry; synthetic aperture radar; Gaussian distribution; Gaussian statistics; Shannon entropy; maximum entropy characterization theorem; multivariate product model; nonGaussian model; polarimetric synthetic aperture radar; scattering vector; textured PolSAR data analysis; Analytical models; Covariance matrix; Entropy; Generators; Scattering; Synthetic aperture radar; Vectors;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351262