Research on Accuracy Enhancement Method of SRTM based on Error Model
Cao Xiaochen1，2，3，You Hongjian1，2，3，Liu Jiayin2，3，Wang Feng2，3
(1.University of Chinese Academy of Sciences，Beijing，100049，China;
2.Institute of Electronics，Chinese Academy of Sciences，Beijing，100190，China;
3.Key Laboratory of Technology in Geo\|spatial Information Processing and Application System，Institute of Electronics，Chinese Academy of Sciences，Beijing，100190，China)
Abstract：DEM has become the kernel data of GIS and remote sensing，and has been applied to various areas.An approach to optimize SRTM1 data using ICESat GLA14 data is proposed in this paper.First，the outliers of GLA14 data is filtered out according to the error distribution of SRTM1 and the coordinate system and height reference of both data is unified.Then，the relationship between the error of SRTM1 and the slope and the aspect of land is analyzed and an error model of SRTM1 is established.Finally，we divide the GLA14 data into control points and check points randomly，use the control points to fit the error model by least square method，use the check points to evaluate the effect of optimization.We repeat the divide several times to prove the effectiveness of our approach.The results of experiment show that our approach has a good effect among different areas and different topography.
曹晓晨，尤红建，刘佳音，王峰. 基于误差建模的SRTM高程精度提升方法研究[J]. 遥感技术与应用, 2017, 32(5): 801-808.
Cao Xiaochen，You Hongjian，Liu Jiayin，Wang Feng. Research on Accuracy Enhancement Method of SRTM based on Error Model. Remote Sensing Technology and Application, 2017, 32(5): 801-808.