采用小波分析的SRTM DEM与ASTER DEM数据融合

摘要

In order to utilize the complementary information the multi-DEM fusion by wavelet analysis is presen-ted. The typical physiognomy character in QinLing which contains high mountain and valley is selected as exper-iment area. And the corresponding DEM data of SRTM DEM and ASTER DEM are prepared. The data are prepro-cessed by re-sampling and co-registered then the low frequency coefficient of wavelet is fused with neighborhood pixel correlative strategy and the high frequency coefficient of wavelet is fused with choosing the point of larger ab-solute value the fused DEM is produced. The precision of data before and after fusion are compared with 1 50 000 DEM respectively. The results of the collectivity statistic and spot check show that the precision of fusion DEM has improved relative to the original DEM. An effective and reliable method for DEM product from SRTM DEM and ASTER DEM is provided through the wavelet analysis fusion.%为了利用航天飞机雷达地形测绘任务数字高程模型( SRTM DEM )与先进星载热反射和反辐射仪数字高程模型( ASTER DEM)的互补信息，提出基于小波分析的多源DEM数据融合方法，以我国秦岭典型高山峡谷地貌类型区为试验样区，选取相同位置的SRTM DEM与ASTER DEM数据，通过重采样、数据配准等步骤形成融合数据源；对小波分解的低频系数作基于邻域像素关联性的融合，高频系数采用像素点绝对值取大的融合，生成融合DEM。并把融合前与融合后的数据分别与1∶5万高程库数据作精度比较，总体统计与抽样检查表明融合DEM精度较源数据均得到了提高。该融合技术为应用SRTM DEM与ASTER DEM生成精度和可靠性更高的DEM产品提供了可行方案。