Classification of terrain using the correlation coefficient in the circular polarization basis for the X-band Pi-SAR image (アンテナ・伝播)

概要

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Classification of terrain is one of the most important applications of Polarimetric Synthetic Aperture Radar (POLSAR) image analysis. This paper presents a simple method to classify terrain by the use of the correlation coefficients in the circular polarization basis together with the total power of the scattering matrix in the X-band. The reflection symmetry condition that the co-polarized and the cross-polarized correlations are close to zero for natural distributed scatterers is utilized to extract characteristic parameters of small forests or cluster of trees, and oriented urban building blocks in dependence of the direction of the radar illumination. Both of these kinds of scatterers are difficult to be identified in high resolution POLSAR images of complex urban areas. The indices employed here are the correlation coefficient, a modified coefficient normalized by the reflection symmetric conditional case, and the total power. It is shown that forest areas and oriented building blocks are so easily detected and identified. Then terrain is classified by these-combinations showing the result is corresponding well to the photographic ground truth images.
社団法人電子情報通信学会の論文
2007-05-10