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An improved three-component model-based decomposition for polarimetric SAR data

机译:改进的基于三分量模型的极化SAR数据分解

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An improved three-component model-based scattering decomposition method by implementing the new volume scattering model for the polarimetric SAR image is presented in this paper. The modified volume model which is suit for the target decomposition of PolSAR data is used in the proposed method aiming to reduce the emergence of negative powers in the Freeman decomposition. The experimental results of NASA/JPL AIRSAR L-band and CSA Radarsat-2 C-band data on San Francisco illustrate that the proposed method can effectively reduce the number of negative powers, which demonstrate the effectiveness of the proposed method on PolSAR data.
机译:通过对极化SAR图像实现新的体积散射模型,提出了一种改进的基于三分量模型的散射分解方法。该方法采用了适合PolSAR数据目标分解的改进体积模型,旨在减少Freeman分解中负功率的出现。在旧金山的NASA / JPL AIRSAR L波段和CSA Radarsat-2 C波段数据的实验结果表明,该方法可以有效减少负功率的数量,证明了该方法对PolSAR数据的有效性。

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