干涉、极化干涉SAR技术森林高度估测算法研究进展
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摘要
在干涉、极化干涉SAR森林高度估测中,估测算法对结果精度起着决定性作用。通过对现有森林高度干涉、极化干涉SAR研究的系统性分析,总结了现有研究中森林高度估测算法的基本原理、模型假设及其应用局限性,并对这些算法在区域和全球尺度森林高度反演中的潜力进行了分析。总结发现,基于干涉SAR技术的DSM-DEM差分法在森林高度反演中精度较高,与极化干涉SAR算法相比,受到森林类型、结构的影响较小,在区域和全球尺度森林高度反演中具有很大潜力。但是其局限性在于是否能够获取大范围高精度的DEM;极化干涉SAR技术利用了森林的极化散射特点,不受DEM的限制,可以大范围地进行森林高度反演,但是在森林异质性大的区域,仍然需要进一步分析森林特征对不同波长相位及相干幅度的影响,根据森林的微波散射原理拓展微波散射模型,才能进一步提高估测结果和精度。此外,由于单基线干涉SAR、极化干涉SAR对森林垂直结构可见性差,因此,发展多维度、多基线SAR及其相应算法并朝这个方向拓展是未来采用干涉SAR、极化干涉SAR进行森林高度反演的主要方向。
Forest height estimation is one of the hottest research areas of InSAR/PolInSAR technology within its 30 years' development.Estimation algorithms play an important role in the forest height assessment by InSAR/PolInSAR technologies.This paper systematically reviewed the basic theories,model assumptions and then summarized the limitation and potential of these algorithms applied in forest height estimation,especially performed in regional or global scale.It also deliberated the intrinsic characteristics of these algorithms like DEM difference method,three-stage inversion process,coherence amplitude method and so on.Analysis showed that the estimation results of DEM difference method had higher accuracy and less influence from forest types and structure.So it had great potential for global and regional forest height assessment,however,it was limited by the requirement of high accuracy DEM data in those area.The result accuracy of algorithms based on PolInSAR depended more on forest types,structures and also the robust of forest scattering models.It had no restriction of DEM and could perform in global and regional scale,but for the forest area with great heterogeneous,model and algorithm suitability and robust need to further studying.Besides,for the poor penetration of single-baseline InSAR/PolInSAR,we should focus more on multidimension,multi-baseline technique for InSAR/PolInSAR application development in the future.
Forest height estimation is one of the hottest research areas of InSAR/PolInSAR technology within its 30 years' development.Estimation algorithms play an important role in the forest height assessment by InSAR/PolInSAR technologies.This paper systematically reviewed the basic theories,model assumptions and then summarized the limitation and potential of these algorithms applied in forest height estimation,especially performed in regional or global scale.It also deliberated the intrinsic characteristics of these algorithms like DEM difference method,three-stage inversion process,coherence amplitude method and so on.Analysis showed that the estimation results of DEM difference method had higher accuracy and less influence from forest types and structure.So it had great potential for global and regional forest height assessment,however,it was limited by the requirement of high accuracy DEM data in those area.The result accuracy of algorithms based on PolInSAR depended more on forest types,structures and also the robust of forest scattering models.It had no restriction of DEM and could perform in global and regional scale,but for the forest area with great heterogeneous,model and algorithm suitability and robust need to further studying.Besides,for the poor penetration of single-baseline InSAR/PolInSAR,we should focus more on multidimension,multi-baseline technique for InSAR/PolInSAR application development in the future.
引文
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