Experimental study on multi-baseline POLSAR scattering component decomposition
H Yamada, M Arii, R Sato… - … and Remote Sensing …, 2016 - ieeexplore.ieee.org
H Yamada, M Arii, R Sato, Y Yamaguchi, S Kojima
2016 IEEE International Geoscience and Remote Sensing Symposium …, 2016•ieeexplore.ieee.orgScattering component decomposition techniques for POLSAR data are powerful tool for the
POLSAR data analysis. The three component decomposition technique is the one of the
major technique among them. However, the algorithm requires several assumptions to solve
the problem because of the lack of independent observables. To overcome this difficulty, we
have proposed the multi-baseline POLSAR scattering component decomposition technique
which utilizes the concept of the MUSIC algorithm with spatial smoothing preprocessing …
POLSAR data analysis. The three component decomposition technique is the one of the
major technique among them. However, the algorithm requires several assumptions to solve
the problem because of the lack of independent observables. To overcome this difficulty, we
have proposed the multi-baseline POLSAR scattering component decomposition technique
which utilizes the concept of the MUSIC algorithm with spatial smoothing preprocessing …
Scattering component decomposition techniques for POLSAR data are powerful tool for the POLSAR data analysis. The three component decomposition technique is the one of the major technique among them. However, the algorithm requires several assumptions to solve the problem because of the lack of independent observables. To overcome this difficulty, we have proposed the multi-baseline POLSAR scattering component decomposition technique which utilizes the concept of the MUSIC algorithm with spatial smoothing preprocessing (SSP) scheme. However resolution performance depends on the decorrelation performance by the SSP. In this report, we propose several enhanced schemes for the SSP, and show some experimental results to show their performance.
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