DEM generation in difficult areas based on InSAR and weighted fusion

doi:10.13474/j.cnki.11-2246.2020.0061

Abstract

Abstract: Synthetic aperture radar interferometry (InSAR) technology has the characteristics of all-day and all-weather, and it can extract DEM quickly and efficiently in a wide range. DEM can be generated normally by InSAR technology even in rainforests covered by cloud and fog all year round. In the second chapter, DEM in the research area is generated by InSAR, which verifies the feasibility of this method. Due to dense vegetation in the study area and a large area of water swamp, low coherence and partial incoherence phenomena exist in the InSAR processing process, which easily leads to errors and cavities in DEM generated based on InSAR technology. To solve this problem, a pixel-level fusion method based on coherent basis as a weighted function is proposed in this paper, where SRTM DEM and AW3D30 DEM are used as exogenous data to fuse with InSAR DEM. In this way,the problems of errors and cavities in DEM generation based on InSAR technology can be solved, and the integrity of DEM can be guaranteed.

Key words: SAR, InSAR, DEM extraction, coherence factor weighting, DEM fusion

CLC Number:

P208

HU Dongming, SUI Lichun, DING Mingtao. DEM generation in difficult areas based on InSAR and weighted fusion[J]. Bulletin of Surveying and Mapping, 2020, 0(2): 142-146.

References

[1] 王志勇, 张继贤, 张永红. 从InSAR干涉测量提取DEM[J]. 测绘通报, 2007(7):27-29.
[2] 靳国旺, 徐青, 张红敏. 合成孔径雷达干涉测量[M]. 北京:国防工业出版社, 2014.
[3] GRAHAM L C. Synthetic interferometer radar for topographic mapping[J]. Proceedings of the IEEE, 1974, 62(6):763-768.
[4] GOLDSTEIN R M, ZEBKER H A, WERNER C L. Satellite radar interferometry:two-dimensional phase unwrapping[J]. Radio Science, 1988, 23(4):713-720.
[5] GESCH B, MULLER J, FARR T G. The shuttle radar topography mission-data validation and applications[J]. Photogrammetric Engineering and Remote Sensing, 2006, 72(3):233.
[6] RABUS B, EINEDER M, ROTH A, et al. The shuttle radar topography mission-a new class of digital elevation models acquired by spaceborne radar[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2003, 57(4):241-262.
[7] ZHANG J, YANG S, ZHAO Z, et al. SAR mapping technology and its application in difficulty terrain area[C]//2010 IEEE International Geoscience and Remote Sensing Symposium.[S.l.]:IEEE, 2010:3608-3611.
[8] WOODHOUSE I H. Introduction to microwave remote sensing[J]. Photogrammetric Record, 2004, 24(126):64-74.
[9] 王之栋, 唐新明, 李涛. InSAR时空基线对DEM精度的影响分析[J]. 测绘通报, 2018(2):61-66.
[10] 隋立春. 主动式雷达遥感[M]. 北京:测绘出版社, 2009.
[11] 许才军, 王华. InSAR相位解缠算法比较及误差分析[J]. 武汉大学学报(信息科学版), 2004, 29(1):67-71.
[12] 李振洪, 刘经南, 许才军. InSAR数据处理中的误差分析[J]. 武汉大学学报(信息科学版), 2004, 29(1):72-76.
[13] 谭仁龙. 一种基于小波变换的图像融合方法[J]. 测绘通报, 2017(9):42-45.
[14] 王乐, 牛雪峰, 魏斌. 遥感影像融合质量评价方法研究[J]. 测绘通报, 2015(2):77-79.
[15] GROHMAN G, KROENUNG G, STREBECK J. Filling SRTM voids:the delta surface fill method[J]. Photogrammetric Engineering and Remote Sensing, 2006, 72(3):213-216.
[16] 国家测绘局测绘标准化研究所. 基础地理信息数字成果1:5000、1:10000、1:25000、1:50000、1:100000数字高程模型:CH/T 9009.2-2010[S]:北京:测绘出版社, 2010.