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无人机航空遥感地质解译在岩石地层单元识别中的应用——以1:50000西南岩溶区填图试点为例
引用本文:山克强,潘明,林宇.无人机航空遥感地质解译在岩石地层单元识别中的应用——以1:50000西南岩溶区填图试点为例[J].地质力学学报,2016,22(4):933-942.
作者姓名:山克强  潘明  林宇
作者单位:中国地质科学院岩溶地质研究所, 桂林 541004
基金项目:中国地质调查局地质调查项目(DD20160060),(12120114042601),(DD20160061)
摘    要:不同基岩组合形成的微地貌形态特征的获取是大比例尺遥感解译岩石地层单元的基础,关键是提高遥感影像及地形数据的空间分辨率。在西南岩溶区填图试点项目中,通过无人机航空遥感平台(UAV)获取了工作区0.2 m分辨率的高精度遥感影像、高密度的点云数据以及0.5 m分辨率的数字高程模型(DEM),影像与DEM叠加建立工作区三维地表模型,实现了区内微地貌形态的高清晰度真三维再现,真实客观地描述了区域地表微地貌特征,促进了不同基岩上形成的微地貌特征的精细化研究,提高了遥感数据的解译程度。解译过程中结合已有地质资料,建立工作区不同岩石地层单元的微地貌、颜色及植被等方面的解译标志,基于三维地表模型实现了对工作区岩石地层单元的识别。 

关 键 词:无人机    遥感    DEM    地表三维模型    微地貌    岩石地层单元
收稿时间:2016/9/15 0:00:00

APPLICATION OF UNMANNED AIR VEHICLE (UAV) REMOTE SENSING DATA IN THE RECOGNITION OF STRATIGRAPHIC UNITS: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING OF KARST AREA IN SOUTHWESTERN CHINA
SHAN Ke-qiang,PAN Ming and LIN Yu.APPLICATION OF UNMANNED AIR VEHICLE (UAV) REMOTE SENSING DATA IN THE RECOGNITION OF STRATIGRAPHIC UNITS: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING OF KARST AREA IN SOUTHWESTERN CHINA[J].Journal of Geomechanics,2016,22(4):933-942.
Authors:SHAN Ke-qiang  PAN Ming and LIN Yu
Affiliation:Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China
Abstract:As microgeomorphologic characteristics formed by different units are the basis of the large scale interpretation remote sensing of lithostratigraphic units, it is very important to increase the resolution of remote sensing images and terrain data. During proceeding the project of the 1:50000 mapping pilot of karst area of southwest China, we use the Unmanned Aerial Vehicle (UAV) platform to obtain high resolution images (0.2 m), high density point cloud data and 0.5 m resolution DEM data of our working area. According to these data, it is easy to describe the microgeomorphologic characteristics of surface objectively by reproducing the high definition real 3D model of microgeomorphology in the working area, to advance the precise researches of microgeomorphologic characteristics of different kind rocks and to improve the interpretation degree of remote sensing data. Combing the existing geological data, interpretation indexes of different microreliefs, colors and vegetation of different stratigraphic unit are set up based on the surface 3D model.
Keywords:UAV  remote Sensing  DEM  surface 3D Model  microgeomorphology  lithostratigraphic unit
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