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A Modified Two-Steps Three-Stage Inversion Algorithm for Forest Height Inversion Using Single-Baseline L-Band PolInSAR Data

文献类型：期刊论文

作者Zhang, Jianshuang1,2; Zhang, Yangjian2; Fan, Wenyi1; He, Liyuan3; Yu, Ying1; Mao, Xuegang1
刊名REMOTE SENSING
出版日期2022-05-01
卷号14期号:9页码:21
关键词forest height inversion three-stage algorithm coherence optimization complex coherence amplitude inversion
DOI10.3390/rs14091986
英文摘要Forest height inversion with Polarimetric SAR Interferometry (PolInSAR) has become a research hotspot in the field of radar remote sensing. In this paper, we systematically studied a modified two-step, three-stage inversion simulating the L-band (L = 23 cm) full-polarization interferometric SAR data with an average forest height of 18 m using ESA PolSARpro-SIM software. We applied this method to E-SAR L-band single-baseline full PolInSAR data in 2003. In the first step, we modified the three-stage inversion algorithm based on phase diversity (PD)/maximum coherence difference (MCD) coherence optimization methods, corresponding to PD, MCD, respectively. In the second step, we introduced the coherence amplitude inversion term and modified the fixed weight to the variable of epsilon times the ground scattering ratio, which improved the accuracy of forest height inversion. The mean of forest height inversion by the HV method was the lowest (15.83 m) and the RMSE was the largest (4.80 m). The PD method was superior to the HV method with RMSE (4.60 m). The MCD method was slightly better than using the PD method with the smallest RMSE (4.43 m). After adding the coherence amplitude term, the RMSE was improved by 0.15 m, 0.14 m, and 0.08 m, respectively. The smallest RMSE was obtained by MCD, followed by the PD and HV methods. Although the robustness of the forest height inversion algorithm was reduced, the underestimation was improved and the RMSE was reduced. Due to the complexity of the real SAR E-SAR L-band single-baseline full PolInSAR data and the small sample sizes, the three-stage inversion methods based on coherent optimization were lower than the three-stage in-version method. After introducing the coherent magnitude term, the overestimation of the forest height was significantly weakened in HVWeight, PDweight, and MCDWeight, and PDWeight was optimal. The modified two-step, three-stage inversion algorithm had significant effects in alleviating forest height underestimation and overestimation, improving the accuracy of forest height inversion, and laying a foundation for the upcoming L-band SAR satellite generation, new SAR and LIDAR systems combined with RPAs (remotely piloted aircrafts)/UAVs (unmanned aerial vehicles) for small areas mapping initiatives, and promoting the depth and breadth of the SAR applications of the new SAR system.
WOS关键词UNDERLYING TOPOGRAPHY ; X-BAND ; INTERFEROMETRY ; BACKSCATTER
资助项目National Natural Science Foundation of China[42101067] ; Civil Aerospace Technology Advance Research Project[D040114]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000794822000001
出版者MDPI
资助机构National Natural Science Foundation of China ; Civil Aerospace Technology Advance Research Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/176525]  
专题拉萨站高原生态系统研究中心_外文论文
作者单位1.Northeast Forestry Univ, Sch Forestry, Minist Educ, Key Lab Sustainable Forest Ecosyst Management, Harbin 150040, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
3.San Diego State Univ, Dept Biol, San Diego, CA 92182 USA
推荐引用方式
GB/T 7714		 Zhang, Jianshuang,Zhang, Yangjian,Fan, Wenyi,et al. A Modified Two-Steps Three-Stage Inversion Algorithm for Forest Height Inversion Using Single-Baseline L-Band PolInSAR Data[J]. REMOTE SENSING,2022,14(9):21.
APA Zhang, Jianshuang,Zhang, Yangjian,Fan, Wenyi,He, Liyuan,Yu, Ying,&Mao, Xuegang.(2022).A Modified Two-Steps Three-Stage Inversion Algorithm for Forest Height Inversion Using Single-Baseline L-Band PolInSAR Data.REMOTE SENSING,14(9),21.
MLA Zhang, Jianshuang,et al."A Modified Two-Steps Three-Stage Inversion Algorithm for Forest Height Inversion Using Single-Baseline L-Band PolInSAR Data".REMOTE SENSING 14.9(2022):21.

入库方式： OAI收割

来源：地理科学与资源研究所

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