多源遥感技术在汶川震后高精度数字高程模型重建中的精度分析
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摘要
汶川地震后,震中地区地表形态遭到很大破坏.在该地区开展科学研究急需高精度数字高程模型支持,重建震区数字高程模型十分必要.本文以高精度重建该地区数字高程模型为目标,综合ALOS PRISM获取的三轨立体像对、ALOS PALSAR雷达影像和欧空局发布的汶川地震ENVISAT雷达影像等资料,采用光学遥感立体测图技术、InSAR技术,并融合已有全球数字高程模型,研究建立覆盖此地区15m分辨率的数字高程模型.在利用中国地壳运动监测网络和陆态网络工程项目实测的GPS数据进行高程精度分析后表明:ALOS PRISM DEM精度优于10m(95%置信度);ALOS PALSAR DEM精度优于10m(95%置信度),而ENVSAT ASAR DEM在平原、丘陵地区精度优于20m(95%置信度).研究证明:ALOS PRISM能进行高精度的地形测量,ALOS PALSAR在山区仍可获得高精度数字高程模型,ENVISAT ASAR在平原地区的精度较高.因此融合光学、雷达遥感技术完全满足获取高精度、高分辨率震区数字高程模型的需要,这为在困难地区建立高精度数字高程模型提供了一个很好的途径.
After Wenchuan earthquake,the surface was destructed largely,especially in the epicenter area.Furthermore,many scientific activities carried out subsequently in the region also require the latest,high-precision digital elevation model as well,the reconstruction of digital elevation model is necessary.In this paper,to reconstruct of the high precision digital elevation model in the region,ALOS PRISM with the triplet stereo pairs,ALOS PALSAR radar images and ESA ENVISAT radar images will be integrated to generate a new high-resolution and high-accuracy DEM(Digital Elevation Model) on the basis of optical remote sensing,InSAR technique with integration of the global digital elevation model.The DEM has been generated at 15 m resolution.Accuracy assessment in measured elevations indicates that vertical accuracy of ALOS PRISM DEM is better than 10 meters(95% confidence level),better than 10 meters(95% confidence level) of ALOS PALSAR DEM,and The ENVSAT DEM accuracy is better than 20 meters(95% confidence level) in hills area using GPS data,which were measured in the Crustal Movement Observation Network of China project.The results reveal that ALOS PRISM can be use to produce highly accurate topographic map,ALOS PALSAR can still get high-precision digital elevation model in mountains,ENVISAT ASAR high accuracy in hill areas.Therefore,integration of optical and radar remote sensing technology entirely meets to produce high-precision,high-resolution digital elevation model,especially which is a good way in difficult areas.
引文
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