Underlying Topography Estimation over Forest Areas Using High-Resolution P-Band Single-Baseline PolInSAR Data
Underlying Topography Estimation over Forest Areas Using High-Resolution P-Band Single-Baseline PolInSAR Data
复制标题
使用高分辨率 P 波段单基线 PolInSAR 数据对森林地区进行基础地形估计
DOI：
10.3390/rs9040363
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发表时间：
2017-04-01
期刊：
影响因子：
5
通讯作者：
Zhao, Rong
中科院分区：
文献类型：
--
作者：
Fu, Haiqiang;Zhu, Jianjun;Zhao, Rong
本文讨论了高分辨率P波段极化合成孔径雷达干涉测量(POLinSAR)在林区下垫面地形估计中的潜力和局限性。由于P波段POLinSAR数据具有显著的穿透深度和足够的观测角度间隔，利用方位方向的时频分析从总的POLinSAR信号中分离出地面散射贡献，而不使用任何物理模型。为了实现这一目标，提出了一种校正残差的一维多项式拟合法。选取松林覆盖的克里克兰流域试验场，对数字高程模型(DEM)的反演效果进行了检验。结果表明，PF方法能较好地校正亚视干涉图的RMES。与现有的直线拟合法相比，TF+PF方法可以提供更精确的DEM(精度提高了26.9%)。此外，DEM反演的性能不受地面随机体积假设的影响。
This paper discusses the potential and limitations of high-resolution P-band polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR) in underlying topography estimation over forest areas. Time-frequency (TF) analysis in the azimuth direction is utilized to separate the ground scattering contribution from the total PolInSAR signal, without the use of any physical model, because the P-band PolInSAR data have a significant penetration depth and sufficient observation angle interval. To achieve this goal, a one-dimensional polynomial fitting (PF) method is proposed for correcting the residual motion error (RME). The Krycklan catchment test site, which is covered with pine forest, was selected to test the performance of the digital elevation model (DEM) inversion. The results show that the PF method can correct the RMEs for the sub-look interferograms well. When compared to the existing line-fit method, the TF+PF method can provide a more accurate DEM (the accuracy is improved by 26.9%). Moreover, the performance of the DEM inversion is free from the random-volume-over-ground assumption.