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Indoor experiments on polarimetric SAR interferometry

机译:极化SAR干涉仪的室内实验

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A coherence optimization method, which makes use of polarimetry to enhance the quality of SAR interferograms, has been experimentally tested under laboratory conditions in an anechoic chamber. By carefully selecting the polarization in both images, the resulting interferogram exhibits an improved coherence above the standard HH or VV channel. This higher coherence produces a lower phase variance, thus estimating the underlying topography more accurately. The potential improvement that this technique provides in the generation of digital elevation models (DEM) of non-vegetated natural surfaces has been observed for the first time on some artificial surfaces created with gravel. An experiment on a true outdoor DEM has not been accomplished yet, but the first laboratory results show that the height error for an almost planar surface can be drastically reduced within a wide range of baselines by using the optimization algorithm. This algorithm leads to three possible interferograms associated with statistically independent scattering mechanisms. The phase difference between those interferograms has been employed for extracting the height of vegetation samples. This retrieval technique has been tested on three different samples: maize, rice, and young fir trees. The inverted heights are compared with ground truth for different frequency bands. The estimates are quite variable with frequency, but their complete physical justification is still in progress. Finally, an alternative simplified scheme for the optimization is proposed. The new approach (called polarization subspace method) yields suboptimum results but is more intuitive and has been used for illustrating the working principle of the original optimization algorithm.
机译:在实验室条件下,在消声室中对通过偏振法提高SAR干涉图质量的相干优化方法进行了实验测试。通过仔细选择两个图像中的偏振,所得干涉图在标准HH或VV通道之上显示出改善的相干性。这种较高的相干性会产生较低的相位变化,从而更准确地估算基础形貌。首次在用砾石创建的某些人造表面上观察到了该技术在非植被自然表面数字高程模型(DEM)生成中提供的潜在改进。尚未在真正的室外DEM上进行实验,但是第一个实验室结果表明,通过使用优化算法,可以在很宽的基准范围内大幅减少几乎平坦表面的高度误差。该算法导致与统计独立散射机制相关的三种可能的干涉图。这些干涉图之间的相位差已被用于提取植被样品的高度。此检索技术已在三种不同的样本上进行了测试:玉米,水稻和幼树。将不同频段的反向高度与地面真实情况进行比较。估计值随频率变化很大,但其完整的物理依据仍在进行中。最后,提出了另一种优化方案。新方法(称为极化子空间方法)产生次优结果,但更为直观,已用于说明原始优化算法的工作原理。

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