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中文摘要：
虽然ESPRIT方法可从单基线极化干涉SAR数据中区分森林冠层、地面对应的散射中心，但它未能提供散射中心间的绝对干涉相位差，造成林高估计精度下降。针对上述问题，本文提出一种基于双基线极化干涉SAR数据的林高估计方法。基于绝对相位差与基线的联系，双基线方法通过最小化代价函数获得绝对干涉相位差有效估计，从而改善了林高估计性能。L波段ESAR数据结果表明，双基线林高估计方法优于单基线ESPRIT方法。
英文摘要：
Although ESPRIT algorithm can obtain the scattering centers related to the canopy and underlying ground from. single-baseline polarimetric interferometric SAR data, it can not estimate their absolute interferometric phase difference. Subsequently, the estimation accuracy of forest height is decreased. To deal with the challenge, a forest height estimation method using dual-baseline data is proposed. Based on their dependency on baseline, the absolute interferometric phase differences are estimated via minimizing a cost function. Thus, reliable forest height results are obtained. Experiment results on L band ESAR data demonstrates that the proposed method gives better forest height estimations than the ESPRIT algorithm.
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