期刊文献+

Obtaining digital elevation data in different terrain and physiognomy regions with spaceborne InSAR and its application analysis 被引量:3

Obtaining digital elevation data in different terrain and physiognomy regions with spaceborne InSAR and its application analysis
原文传递
导出
摘要 Synthetic Aperture Radar Interferometry (for short, InSAR) is a new kind of earth observation technology, which has obtained great development in recent ten years and has a great development potential and successful future. In this note, three typical regions with different physiognomies and terrains have been selected as study regions to extract their Digital Elevation Model (OEMs). Compared with the existing 1 : 250000 DEM and by analyzing their results, we have obtained its accuracy and applicable scopes. The results show that in the region (plains, mountains or highlands) with dry surface and sparse vegetation, because of the better correlatability of images, the DEM obtained by InSAR is evidently better than the existing 1 : 250000 DEM and the accuracy can reach 4-6m; in the thick-vegetation-covering region, correlatability between images descends and the accuracy of InSAR DEM can only reach about 30 m worse than its existing 1:250000 DEM; in the middle covering field, the accuracy of InSAR DEM Synthetic Aperture Radar Interferometry (for short, InSAR) is a new kind of earth observation technology, which has obtained great development in recent ten years and has a great development potential and successful future. In this note, three typical regions with different physiognomies and terrains have been selected as study regions to extract their Digital Elevation Model (DEMs). Compared with the existing 1: 250000 DEM and by analyzing their results, we have obtained its accuracy and applicable scopes. The results show that in the region (plains, mountains or highlands) with dry surface and sparse vegetation, because of the better correlatability of images, the DEM obtained by InSAR is evidently better than the existing 1: 250000 DEM and the accuracy can reach 4–6 m; in the thick-vegetation-covering region, correlatability between images descends and the accuracy of InSAR DEM can only reach about 30 m worse than its existing 1: 250000 DEM; in the middle covering field, the accuracy of InSAR DEM with tandem images can reach about 10 m as well; yet in water space, such as lakes and rivers, InSAR DEM shows a big error since there is only quite faint signal reflected to the sensor. Then the conclusion has been got: in the west of China, where it has a lack-vegetation and dry ground, InSAR is completely feasible to be applied to such a complicated nature environment region.
出处 《Chinese Science Bulletin》 SCIE EI CAS 2002年第10期868-873,共6页
基金 This work was supported by the Key Basic Research and Development Program of China (Grant No. G1998040703) the National Natural Science Foundation of China (Grant No.49802027).
关键词 Synthetic APERTURE Radar Interferometry (InSAR) digi-tal TERRAIN model (DEM) accuracy appraisal. Synthetic Aperture Radar Interferometry (InSAR) digital terrain model (DEM) accuracy appraisal
  • 相关文献

参考文献4

二级参考文献7

  • 1Zebker HA,Rosen PA,Goldstein RM,et al.On the Derivation of Coseismic Displacement Fields Using Differential Radar Interferometry: the Landers Earthquake. Chinese Journal of Geophysics . 1994
  • 2Kimura H,Yamaguchi Y.Detection of landslide areas using satellite radar interferometry. Photogrammetric Record . 2000
  • 3Plant GW,Covil C.S.,Hughes R.A.Site Preparation for the New Hong Kong International Airport. . 1998
  • 4Rosen, P. A,Hensley, S,Zebker, H. A. et al.Surface deformation and coherence measurements of Kilauea Volcano, Hawaii, from SIR-C radar interferometry. Chinese Journal of Geophysics . 1996
  • 5Wang, Ch,Liu, Z,Zhang, H. et al.Coseismic displacement of Zhangbei-Shangyi Earthquake observed by differential SAR interferometry. Chinese Science . 2000
  • 6刘国祥,丁晓利,陈永奇,李志林,郑大伟.极具潜力的空间对地观测新技术——合成孔径雷达干涉[J].地球科学进展,2000,15(6):734-740. 被引量:55
  • 7刘国祥,丁晓利,李志林,陈永奇,章国宝.星载SAR复数图像的配准[J].测绘学报,2001,30(1):60-66. 被引量:36

共引文献16

同被引文献14

引证文献3

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部