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Proceedings Paper

An approach of DSM generation from multi-view images acquired by UAVs
Author(s): DaTian Hu; Mingyao Ai; Qingwu Hu; Jiayuan Li
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Paper Abstract

In the past few years, for its lower-cost, safer and high-resolution images, unmanned aerial vehicles (UAVs) demonstrated great potential for photogrammetric measurements in numerous application fields. Nevertheless, these images are often affected by large rotation, big viewpoint change as well as small overlaps, in which case traditional procedure are not able to orientate images or generate reliable Digital Generation Models (DSM). This paper introduces the whole procedure of the DSM generation, which comprehensively utilizes advantage of both computer vision and multi-image matching algorithms in extracting points and generating a dense DSM. Experiment shows that, based on this procedure, it can quickly extract points from the high-resolution images acquired by UAVs with high location accuracy.

Paper Details

Date Published: 2 March 2016
PDF: 6 pages
Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99011B (2 March 2016); doi: 10.1117/12.2234797
Show Author Affiliations
DaTian Hu, WuHan University (China)
Mingyao Ai, Wuhan Univ. (China)
Qingwu Hu, Wuhan Univ. (China)
Jiayuan Li, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 9901:
2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015)
Cheng Wang; Rongrong Ji; Chenglu Wen, Editor(s)

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