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郭复胜; 高伟; 胡占义
Source Publication中国科学 信息科学
Other Abstract
With the rapid development of unmanned aerial vehicles (UAV) remote sensing technology, UAV nds its place in various applications where the large-scale orthoimage generation is a popular and important step. This paper is meant to apply hugely successful multi-view 3D reconstruction techniques in recent years in computer
vision eld to UAV images, and presents a method of automatic generation of large scale true orthoimage based on structure from motion (SfM) and multi-view stereo (MVS) technologies. This paper includes the following key parts: First, an approach is proposed to build a Digital Surface Model (DSM), seemingly a necessary step for any good orthoimage generation, from the points cloud reconstructed by Patch-based Multi-view Stereo (PMVS). Then the key steps of our orthoimage generation method are presented, such as reference system de nition and transformation, the patch visibility computation, Markov Random Field(MRF) model based patch selection and seamless mosaicking. Finally, our orthimage generation method is tested with several sets of UAV images, and
compared with some commercial software. The experiments show that our orthimage generation method performs satisfactorily for both terrain and urban area UAV images.

Keyword真正射影像 无人机
Indexed ByEI
Document Type期刊论文
Corresponding Author郭复胜
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
郭复胜,高伟,胡占义. 无人机图像全自动生成大比例尺真正射影像方法[J]. 中国科学 信息科学,2013,43(11):1383-1397.
APA 郭复胜,高伟,&胡占义.(2013).无人机图像全自动生成大比例尺真正射影像方法.中国科学 信息科学,43(11),1383-1397.
MLA 郭复胜,et al."无人机图像全自动生成大比例尺真正射影像方法".中国科学 信息科学 43.11(2013):1383-1397.
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