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作 者:郭晨 许强[1] 董秀军[1] 潘星 刘小莎 佘金星 GUO Chen;XU Qiang;DONG Xiujun;PAN Xing;LIU Xiaosha;SHE Jinxing(State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China;Surveying and Mapping Technical Service Center, Sichuan Bureau of Surveying, Mapping and Geographic Information, Chengdu 610081, China)
机构地区:[1]地质灾害防治与地质环境保护国家重点实验室(成都理工大学),成都610059 [2]成都理工大学地球科学学院,成都610059 [3]四川测绘地理信息局测绘技术服务中心,成都610081
出 处:《成都理工大学学报(自然科学版)》2021年第6期705-713,共9页Journal of Chengdu University of Technology: Science & Technology Edition
基 金:国家重点研发计划项目(2018YFC1505202);国家创新研究群体科学基金项目(41521002)。
摘 要:为了消除单一光源对传统数字高程模型(DEM)可视化影像的影响,提高基于机载激光雷达(LiDAR)技术的滑坡识别准确性,利用基于天空视域因子(SVF)的数字高程模型可视化方法,以四川省丹巴县城几处典型滑坡为例,详细对比了SVF可视化影像和传统山体阴影图在滑坡特征识别中的显著优势,结合现场调查对识别结果进行了验证,探讨了最大搜索半径与搜索方向对SVF可视化影像的影响。结果表明基于SVF的DEM可视化方法有效消除了单一光源对传统山体阴影图的不利影响,还原真实地形地貌特征,降低了基于机载LiDAR的滑坡识别门槛,提高了滑坡识别的准确性。In order to eliminate the influence of single light source on the visualization image of traditional digital elevation model(DEM)and improve the accuracy of landslide identification based on airborne LiDAR(LiDAR)technology,a digital elevation model visualization method based on sky view factor(SVF)is used in the research of several typical landslides in Danba County,Sichuan Province.The significant advantages of SVF visual image and traditional mountain shadow image in landslide feature recognition are compared in detail,the identification results are verified by field investigation and the influence of maximum search radius and search direction on SVF visual image is discussed.The results show that the DEM visualization method based on SVF can effectively eliminate the adverse effect of single light source on traditional mountain shadow image,restore the real landform features,lower the threshold of landslide recognition based on airborne LiDAR,and improve the accuracy of landslide recognition.
关 键 词:机载激光雷达 高分辨率数字高程模型 天空视域因子 地形可视化 滑坡识别
分 类 号:P237[天文地球—摄影测量与遥感] P642.22[天文地球—测绘科学与技术]
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