数字航空摄影三维重建理论与技术发展综述
航空摄影测量作为摄影测量学最重要的分支之一, 近年来得到了长足的发展。倾斜航空摄影和无人机摄影测量等多种新作业模式的出现, 给传统航空摄影测量带来新的挑战的同时也催生出了诸多新的解决方案。此外, 人工智能领域计算机视觉技术和深度学习技术中的新理论、新方法不断融入航空摄影测量中, 推动航空摄影测量向智能化、自动化方向发展。当代航空摄影测量学已经是多种传感器融合、多种数据采集方式结合、传统摄影测量和人工智能技术交叉的产物。三维重建是航空摄影测量的核心问题之一。本文阐述了当代航空摄影三维重建技术的发展趋势和存在的问题, 着重从航空影像的同名连接点自动提取与匹配、区域网平差、密集匹配和单体化建模4个方...
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| Published in | Ce hui xue bao Vol. 51; no. 7; pp. 1437 - 1457 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Chinese English |
| Published |
Beijing
Surveying and Mapping Press
01.07.2022
中国测绘科学研究院摄影测量与遥感所,北京100036%香港理工大学土地测量及地理资讯学系,香港999077%信息工程大学地理空间信息学院,河南郑州450047 |
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| Online Access | Get full text |
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| Abstract | 航空摄影测量作为摄影测量学最重要的分支之一, 近年来得到了长足的发展。倾斜航空摄影和无人机摄影测量等多种新作业模式的出现, 给传统航空摄影测量带来新的挑战的同时也催生出了诸多新的解决方案。此外, 人工智能领域计算机视觉技术和深度学习技术中的新理论、新方法不断融入航空摄影测量中, 推动航空摄影测量向智能化、自动化方向发展。当代航空摄影测量学已经是多种传感器融合、多种数据采集方式结合、传统摄影测量和人工智能技术交叉的产物。三维重建是航空摄影测量的核心问题之一。本文阐述了当代航空摄影三维重建技术的发展趋势和存在的问题, 着重从航空影像的同名连接点自动提取与匹配、区域网平差、密集匹配和单体化建模4个方面对当前的研究现状进行了总结讨论, 给出了当前国内外主流的航空影像摄影测量处理框架。 |
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| AbstractList | 航空摄影测量作为摄影测量学最重要的分支之一, 近年来得到了长足的发展。倾斜航空摄影和无人机摄影测量等多种新作业模式的出现, 给传统航空摄影测量带来新的挑战的同时也催生出了诸多新的解决方案。此外, 人工智能领域计算机视觉技术和深度学习技术中的新理论、新方法不断融入航空摄影测量中, 推动航空摄影测量向智能化、自动化方向发展。当代航空摄影测量学已经是多种传感器融合、多种数据采集方式结合、传统摄影测量和人工智能技术交叉的产物。三维重建是航空摄影测量的核心问题之一。本文阐述了当代航空摄影三维重建技术的发展趋势和存在的问题, 着重从航空影像的同名连接点自动提取与匹配、区域网平差、密集匹配和单体化建模4个方面对当前的研究现状进行了总结讨论, 给出了当前国内外主流的航空影像摄影测量处理框架。 P237; 航空摄影测量作为摄影测量学最重要的分支之一,近年来得到了长足的发展.倾斜航空摄影和无人机摄影测量等多种新作业模式的出现,给传统航空摄影测量带来新的挑战的同时也催生出了诸多新的解决方案.此外,人工智能领域计算机视觉技术和深度学习技术中的新理论、新方法不断融入航空摄影测量中,推动航空摄影测量向智能化、自动化方向发展.当代航空摄影测量学已经是多种传感器融合、多种数据采集方式结合、传统摄影测量和人工智能技术交叉的产物.三维重建是航空摄影测量的核心问题之一.本文阐述了当代航空摄影三维重建技术的发展趋势和存在的问题,着重从航空影像的同名连接点自动提取与匹配、区域网平差、密集匹配和单体化建模4个方面对当前的研究现状进行了总结讨论,给出了当前国内外主流的航空影像摄影测量处理框架. |
| Author | 张力 艾海滨 刘玉轩 孙洋杰 樊仲藜 蓝朝桢 |
| AuthorAffiliation | 中国测绘科学研究院摄影测量与遥感所,北京100036%香港理工大学土地测量及地理资讯学系,香港999077%信息工程大学地理空间信息学院,河南郑州450047 |
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| Author_FL | ZHANG Li LIU Yuxuan FAN Zhongli AI Haibin SUN Yangjie LAN Chaozhen |
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| Copyright | Jul 2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| SubjectTerms | Aerial photography Artificial intelligence Automation Computer vision Data acquisition Deep learning Image reconstruction Machine learning Photogrammetry Unmanned aerial vehicles |
| Title | 数字航空摄影三维重建理论与技术发展综述 |
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