双基线极化干涉SAR植被参数反演

Forest parameters retrieval with dual-baseline polarimetric SAR interferometry based on clustering analysis

植被参数反演是极化干涉合成孔径雷达的重要应用,然而单基线极化干涉合成孔径雷达技术无法解决体散射去相干估计的模糊问题.提出了一种新的双基线极化干涉合成孔径雷达技术,充分利用了双基线观测数据的相关性,能够有效地解决体散射去相干估计的模糊问题,并对基线比例较小的情况仍具有较好的鲁棒性.利用欧空局发布的PolSARPro软件仿真验证了该方法的有效性和稳健性.

Forest parameters inversion is an important application of Polarimetric Synthetic Aperture Radar Interferometry （PolInSAR）. To resolve the volume decorrelation coefficient ambiguity of single-baseline PolInSAR, a new dual-baseline PolInSAR approach is proposed in this paper. The correlation of dual-baseline data is fully investigated to resolve the ambiguity problem effectively, and the performance of the proposed approach is proved to be of great robustness in a very small baseline ratio system. Finally, experimental results with ESA dual-baseline PolInSAR simulated data validate the effectiveness and robustness of the proposed approach.