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  李天龙,张世民,丁锐,刘韶,赵丽媛.基于P5立体像对和高分辨率Google Earth影像的丽江-小金河断裂断错地貌解译[J].震灾防御技术,2014,9(1):40-52, DOI:10.11899/zzfy20140104.

基于P5立体像对和高分辨率Google Earth影像的丽江-小金河断裂断错地貌解译
摘要:    丽江-小金河断裂斜切中国西南“川滇菱块”,走向北东,为一高角度斜滑断裂。与平面遥感影像相比,通过三维影像解译断错地貌有显著的优越性。印度P5卫星数据具备真正2.5m分辨率,在制图方面,像对生成DEM以及制图精度可达1:25000。本文依据立体像对提取DEM的原理,利用ENVI软件DEM Extraction模块提取出了丽江-小金河断裂带P5立体像对的DEM。文中利用等高线套合分析法和剖面线法对DEM精度进行评价,结论认为,DEM精度优于1:5万地形图等高线高程精度,而且与实时动态差分(RTK)测量结果比较一致。文章重点选取了丽江市北东方向干塘子和西南方向南溪盆地两处,将三种高程数据——从P5立体像对提取出的DEM、google earth影像地形高程和1:5万矢量地形图等高线生成的DEM,结合Google Earth影像做成三维立体影像,较为直观地对三种高程数据进行了有效的对比,结论认为,P5立体像对生成的DEM精度最高。在室内利用高精度三维立体图对丽江-小金河断裂断层地貌进行了解译,经过野外踏勘和探槽验证,证明三维影像解译具有很高的利用价值。
作者单位
李天龙 中国地震局地壳应力研究所地壳动力学重点实验室北京 100085 
张世民 中国地震局地壳应力研究所地壳动力学重点实验室北京 100085 
丁锐 中国地震局地壳应力研究所地壳动力学重点实验室北京 100085 
刘韶 中国地震局地壳应力研究所地壳动力学重点实验室北京 100085 
赵丽媛 中国地震局地壳应力研究所地壳动力学重点实验室北京 100085 
关  键  词:DEM  丽江-小金河断裂  地貌解译  DEM精度评价
DOI:10.11899/zzfy20140104
基金项目:地震行业专项(201108001)及国家自然基金(41272234)资助
收稿日期:2013-06-24
作者简介:李天龙,男,生于1988年。硕士。主要研究领域:活动构造与构造地貌。 E-mail:jiyuanlitianlong@163.com
通讯作者:
Geomorphic Interpretation of Lijiang-Xiaojin River Fault from P5 Stereograph and High Resolution Google Earth Images
Abstract:      Lijiang-Xiaojin River fault trends NE, which obliquely cuts the “Sichuan-Yunnan Rhombic Block”in southwest China, is a strike-slip fault with high dipping angle. The Indian P5 satellite data has the resolution of real 2.5 meters, and the resolution of the DEM made by the images pairs can reach 1:25000. According to the theory of DEM extraction from image pairs,we extracted the DEM of Lijiang-Xiaojin River fault from P5 Stereograph with DEM extraction module of the ENVY software. The precision evaluation of DEM was done by using the method of the contour overlap analysis and the profile lines. The conclusion is that the DEM accuracy precedes the precision of the 1:50000 topographic map and is almost consistent with the measured results of the real-time dynamic difference. This paper emphatically chose the two places: Gantangzi in the northeast of Lijiang and Nanxi basin in the southwest and put three kinds of DEM data which are extracted from P5 image pairs, Google earth images, and contour lines of 1:50000 vector topographic maps respectively. By comparison we found that DEM extracted from P5 image pairs is the best. Finally, we interpreted the Lijiang-Xiaojin river fault in detail on the small geomorphic unit by high-precision 3-demensional stereo images. The field reconnaissance and trench excavating improve our interpretation, which indicates that 3-dimensional stereo images are valuable in recognition of faults.
Keywords:  DEM  Lijiang-Xiaojin river fault  Geomorphic interpretation  DEM precision accuracy
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