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联合激光点云与立体卫星影像的露滩地区精准测绘

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为解决露滩地区立体卫星影像精准测绘的难题,利用立体光学卫星影像与激光雷达(light detection and ran-ging,LiDAR)点云数据在几何定位方面的互补特性,提出了以高精度LiDAR点云数据作为广义控制的立体光学卫星影像高精度测绘方法.首先,对LiDAR深度图与光学卫星影像进行匹配,提取同名点对作为广义控制;然后,将影像和控制一起作为输入进行平差,完成影像准确几何定位;最后,以LiDAR点云数据作为引导,结合多基线、多基元的匹配算法和GRM(geomorphologic refined matching)算法,自动提取露滩地区高精度数字表面模型(digital sur-face model,DSM).研究结果表明,综合利用激光点云和立体卫星影像数据,运用摄影测量技术,能够快速准确地生产露滩地区高精度的地形图,对于露滩地形精准测绘具有一定的指导意义.
Precise mapping of open beach areas by combining laser point clouds and stereo optical satellite imagery
This study aims to overcome the challenges of precise mapping of open beach areas using stereo satellite imagery.Based on the complementary characteristics of stereo optical satellite imagery and light detection and ranging(LiDAR)point cloud data in geometric positioning,this study developed a high-precision mapping method that employed high-precision LiDAR point cloud data for generalized control.First,the LiDAR depth map was matched with the optical satellite images to extract corresponding point pairs for generalized control.Then,the images and control points were used as inputs for adjustment to achieve an accurate geometric positioning of the images.Finally,guided by LiDAR point cloud data and in combination with multi-baseline and multi-primitive matching algorithms and the geomorphologic refined matching(GRM)algorithm,a high-precision digital surface model(DSM)for open beach areas was automatically extracted.The results of this study indicate that the combined use of laser point clouds and stereo satellite imagery,along with photogrammetric technology,allows for the quick and accurate preparation of high-precision topographic maps of open beach areas.This study provides valuable guidance for the precise mapping of open beach areas.

stereo optical satelliteLiDAR point cloudgeometric positioningDSM automatic extraction

王宗伟、陆敏燕、范仪琳

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江苏省测绘工程院,南京 210013

自然资源部国土卫星遥感应用重点实验室,南京 210013

立体光学卫星 LiDAR点云 几何定位 DSM自动提取

2024

自然资源遥感
中国国土资源航空物探遥感中心

自然资源遥感

CSTPCD北大核心
影响因子:1.275
ISSN:2097-034X
年,卷(期):2024.36(4)