摘要
为了克服现有SRTM和ASTER各自缺陷,提升公共DEM精度,本文提出了一种顾及地形坡度的SRTM和ASTER加权融合方法。首先对两种DEM进行地理配准;然后计算不同坡度等级下SRTM和ASTER的高程误差,并得到DEM融合权重;最后采用加权平均法对SRTM和ASTER进行融合。高精度控制点的检验表明:融合后DEM精度有明显提高,相比于原始SRTM和ASTER高程误差,标准差分别降低了5.65 m和1.20 m。
To produce a high-accuracy public available DEM,a weighted mean method based on terrain slope for fusing SRTM and ASTER is developed in this paper. Specifically,the two public DEMs are first georeferenced. Then,the fusion weights of the two DEMs are calculated with respect to their elevation errors under different slope grades. Finally,the two DEMs are fused based on the fusion weights. The fused DEM is assessed using some high-precision control points. The results indicate that the precision of the fused DEM is improved,whose elevation standard deviation error is 5.65 m and 1.20 m lower than those of SRTM and ASTER,respectively.
作者
郑婷婷
陈传法
刘洪涛
ZHENG Tingting;CHEN Chuanfa;LIU Hongtao(College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;Jinan Geotechnical Investigation and Surveying Institute,Jinan 250101,China)
出处
《测绘通报》
CSCD
北大核心
2020年第4期121-124,共4页
Bulletin of Surveying and Mapping
基金
国家自然科学基金(41371367)
山东省自然科学基金(ZR2019MD007,ZR2019BD006)。
