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遥感技术与应用  2017, Vol. 32 Issue (5): 801-808    DOI: 10.11873/j.issn.1004-0323.2017.5.0801
模型与反演     
基于误差建模的SRTM高程精度提升方法研究
曹晓晨1,2,3,尤红建1,2,3,刘佳音2,3,王峰2,3
(1.中国科学院大学,北京 100049;
2.中国科学院电子学研究所,北京  100190;
3.中国科学院空间信息处理与应用系统技术重点实验室,北京 100190)
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)
 全文: PDF(4139 KB)  
摘要:
数字高程模型(DEM)是地理信息系统和遥感等领域所必需的核心数据,已经应用到很多方面。本文提出了一种利用ICESat GLA14数据优化SRTM1数据的方法。首先,根据SRTM误差分布去除GLA14数据中的粗差点,完成坐标基准和高程基准的统一。其次,分析了SRTM误差随坡度、坡向的变化规律,并建立了误差模型。最后,将GLA14数据随机划分为控制点和检查点,使用控制点采用最小二乘法拟合误差,使用检查点评价精度提升效果,并多次重复随机划分的过程,验证算法的有效性。实验结果表明:使用该算法针对不同地区不同地形的DEM进行了实验,均取得了很好的效果。
 
关键词: DEM优化SRTMICESat误差模型DEM精度    
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.
Key words: DEM optimization    SRTM    ICESat    Error model    DEM accuracy
收稿日期: 2016-08-15 出版日期: 2017-11-02
:  TP 79  
基金资助: 国家自然科学基金重大专项“高分辨率SAR成像要素影响与集成化处理平台”(61331017)。
作者简介: 曹晓晨(1991-),男,河北石家庄人,硕士研究生,主要从事遥感图像处理研究。Email:819259281@qq.com。
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引用本文:

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.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2017.5.0801        http://www.rsta.ac.cn/CN/Y2017/V32/I5/801

[1] 范兴旺,刘元波. 利用共线方程的ALOS DEM制作误差分析[J]. 遥感技术与应用, 2015, 30(4): 694-699.
[2] 郭笑怡,张洪岩,张正祥,侯光雷,赵建军. ASTER-GDEM与SRTM3数据质量精度对比分析[J]. 遥感技术与应用, 2011, 26(3): 334-339.