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全景立体视觉的快速近区重力地形改正方法
引用本文:邸凯昌,吴凯,刘召芹,万文辉,邸志众,李钢. 全景立体视觉的快速近区重力地形改正方法[J]. 遥感学报, 2013, 17(4): 759-767
作者姓名:邸凯昌  吴凯  刘召芹  万文辉  邸志众  李钢
作者单位:中国科学院遥感应用研究所,遥感科学国家重点实验室,遥感科学国家重点实验室,北京勘察技术工程有限公司,北京勘察技术工程有限公司
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目);国家重点基础研究发展计划(973计划)
摘    要:重力地形改正是区域重力测量工作中的一个关键步骤,目前重力地形改正的主要挑战是如何快速地重建测站附近高精度的三维地形。本文提出了一种基于全景立体视觉和摄影测量技术的快速近区重力地形改正方法,设计和开发了相应的快速测图系统。为了使该系统硬件尽量小型化并满足精度需求,我们进行了系统的理论精度分析和设计优化。所开发的研究系统可以从获取的全景立体图像自动生成DEM并计算重力地形改正值。该系统已经过野外多站多种地形的实验验证,结果表明其效率和精度明显优于传统的野外测量方法。

关 键 词:重力地形改正,地形测图,全景视觉,立体影像匹配,点云滤波
收稿时间:2012-07-17
修稿时间:2012-12-26

Fast near-region gravity terrain correction approach based on panoramic stereo vision
DI Kaichang,WU Kai,LIU Zhaoqin,WAN Wenhui,DI Zhizhong and LI Gang. Fast near-region gravity terrain correction approach based on panoramic stereo vision[J]. Journal of Remote Sensing, 2013, 17(4): 759-767
Authors:DI Kaichang  WU Kai  LIU Zhaoqin  WAN Wenhui  DI Zhizhong  LI Gang
Affiliation:State Key Laboratory of Remote Sensing Science,State Key Laboratory of Remote Sensing Science,Beijing Explo-Tech Engineering Limited Company,Beijing Explo-Tech Engineering Limited Company
Abstract:Gravity terrain correction is a critical step in regional gravity survey. The main challenge for gravity terrain correction is how to rapidly reconstruct high-quality terrain near the gravity survey station. This paper proposes a fast near-region terrain correction method based on panoramic stereo vision and photogrammetry techniques. A fast topographic mapping system is designed and developed for this purpose. To miniaturize the system and assure required mapping accuracy, we theoretically analyze and optimize the hardware design. The developed software system generates DEM automatically from panoramic stereo images and calculates the gravity correction value at each station. The system has been verified in several filed tests with various terrain circumstances. The test results demonstrate that the developed gravity terrain correction method significantly outperforms the traditional field surveying methods in efficiency and accuracy.
Keywords:gravity terrain correction   topographic mapping   panoramic vision   stereo image matching   point cloud filtering
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