期刊论文详细信息
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
EVALUATION OF AIRBORNE L- BAND MULTI-BASELINE POL-INSAR FOR DEM EXTRACTION BENEATH FOREST CANOPY
Chen, E. X.^21  Li, W. M.^12 
[1] Institute of forest resources information technique, Chinese Academy of Forestry, No.1 Dongxiaofu Haidian district, Beijing, China^2;School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road Yadong new city Nanjing, Jiangsu province, China^1
关键词: Digital Elevation Model;    SAR;    Multi-baseline Pol-InSAR;    TomoSAR;    Forest canopy;    Scattering characteristics separation;   
DOI  :  10.5194/isprs-archives-XLII-3-949-2018
学科分类:地球科学(综合)
来源: Copernicus Publications
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【 摘 要 】

DEM beneath forest canopy is difficult to extract with optical stereo pairs, InSAR and Pol-InSAR techniques. Tomographic SAR (TomoSAR) based on different penetration and view angles could reflect vertical structure and ground structure. This paper aims at evaluating the possibility of TomoSAR for underlying DEM extraction. Airborne L-band repeat-pass Pol-InSAR collected in BioSAR 2008 campaign was applied to reconstruct the 3D structure of forest. And sum of kronecker product and algebraic synthesis algorithm were used to extract ground structure, and phase linking algorithm was applied to estimate ground phase. Then Goldstein cut-branch approach was used to unwrap the phases and then estimated underlying DEM. The average difference between the extracted underlying DEM and Lidar DEM is about 3.39 m in our test site. And the result indicates that it is possible for underlying DEM estimation with airborne L-band repeat-pass TomoSAR technique.

【 授权许可】

CC BY   

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