测绘学报 ›› 2022, Vol. 51 ›› Issue (6): 983-995.doi: 10.11947/j.AGCS.2022.20220154

• 摄影测量学与遥感 • 上一篇    下一篇

极化干涉SAR地表覆盖层“穿透测绘”技术进展

朱建军, 付海强, 汪长城   

  1. 中南大学地球科学与信息物理学院, 湖南 长沙 410083
  • 收稿日期:2022-03-01 修回日期:2022-04-15 发布日期:2022-07-02
  • 通讯作者: 付海强 E-mail:haiqiangfu@csu.edu.cn
  • 作者简介:朱建军(1962-),男,教授,博士生导师,研究方向为测量平差与InSAR数据处理。E-mail:zjj@csu.edu.cn
  • 基金资助:
    国家自然科学基金(41820104005;41904004;42030112)

Research progress of "penetration mapping" of earth surface by PolInSAR

ZHU Jianjun, FU Haiqiang, WANG Changcheng   

  1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
  • Received:2022-03-01 Revised:2022-04-15 Published:2022-07-02
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41820104005;41904004;42030112)

摘要: 传统光学遥感主要采集地表覆盖层表面几何信息及部分物理信息,难以对其厚度及内部结构属性信息进行全方位监测。极化干涉合成孔径雷达(PolInSAR)具备穿透地表覆盖层并记录内部结构与物理属性的能力,为解决上述问题带来了契机。因此,如何对地表覆盖层进行“穿透测绘”,全面采集地表覆盖层空间几何、内部结构属性及其动态变化过程已成为研究热点。本文首先尝试定义“穿透测绘”的基本内涵;然后,梳理了基于PolInSAR技术的穿透测绘在植被、冰雪、沙漠等自然地表覆盖层的应用进展;最后,分析总结了PolInSAR穿透测绘面临的挑战。

关键词: 穿透测绘, 地表覆盖层, 合成孔径雷达干涉测量, 森林, 沙漠, 冰雪

Abstract: Traditional optical remote sensing mainly collects surface geometric information and partial physical information, which is difficult to monitor their thickness and internal structural attribute information. PolInSAR (polarimetric SAR interferometry) characterized by the ability to penetrate the surface cover can record internal structures and physical properties, bringing opportunities to solve the above problem. Therefore, how to perform "penetration mapping" to the surface cover to fully collect the spatial geometry, internal structural properties and its dynamic change process have become a research hotspot. This article tries to define the connotation of "penetration mapping". Then the PolInSAR application progress of the natural surface cover of vegetation, ice and the desert are combed. Finally, we analyze and summarize the current problems and challenges faced by PolInSAR penetration mapping.

Key words: penetration mapping, earth surface cover, polarimetric SAR interferometry, forest, desert, ice and snow

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