An approach of DSM generation from multi-view images acquired by UAVs

DaTian Hu; Mingyao Ai; Qingwu Hu; Jiayuan Li

doi:10.1117/12.2234797

2 March 2016 An approach of DSM generation from multi-view images acquired by UAVs

DaTian Hu, Mingyao Ai, Qingwu Hu, Jiayuan Li

Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 99011B (2016) https://doi.org/10.1117/12.2234797
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China

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.

Citation Download Citation

DaTian Hu, Mingyao Ai, Qingwu Hu, and Jiayuan Li "An approach of DSM generation from multi-view images acquired by UAVs", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99011B (2 March 2016); https://doi.org/10.1117/12.2234797

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