InSAR林下地形测绘方法与研究进展

Methods and Research Progress of Underlying Topography Estimation over Forest Areas by InSAR

  • 摘要: 传统光学遥感技术手段在森林覆盖区难以准确获取林下地形,原因在于其只能测量森林冠层顶部高程。微波信号能够穿透森林冠层并记录森林垂直结构信息,为解决林下地形测绘难题带来了契机,如何准确获取林下地形已成为微波遥感领域的研究热点。首先介绍了面向林下地形测绘的合成孔径雷达(synthetic aperture radar,SAR)干涉测高原理及数据获取手段。然后对利用SAR进行林下地形测绘的方法进行了分类,主要包括基于合成孔径雷达干涉测量(interferometric synthetic aperture radar,InSAR)、极化合成孔径雷达干涉测量(polarimetric InSAR,PolInSAR)及基于多基线InSAR/PolInSAR数据的层析SAR(tomographic SAR,TomoSAR)技术的林下地形测绘方法,并介绍了上述3种方法的应用进展。最后在此基础上,从数据获取、误差改正及散射模型构建3个角度分析了林下地形测绘所面临的问题。

     

    Abstract: It is difficult for traditional optical remote sensing technique to extract underlying topography over forest areas because that it can only measure the height of top of canopy. Since the microwave can penetrate into forest and record its vertical information, the microwave remote sensing technique provides the possibility for the underlying topography estimation, which has been a research hotspot. In this paper, the principle of digital elevation model (DEM) extraction by synthetic aperture radar interferometry (InSAR) and the corresponding SAR systems to acquire the InSAR data over forest areas have been introduced firstly. The second part of this paper describes different methods used to extract DEM based on InSAR, polarimetric InSAR (PolInSAR) and tomographic SAR (TomoSAR) technologies. After this, based on the above three SAR technologies, the application and research progress of underlying topography estimation are introduced. Finally, the discussions about the data acquisition, error correction and scattering model reconstruction for underlying topography extraction are introduced.

     

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