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Targeted 3D modeling from UAV imagery
Author(s): R. Abraham Martin; Benjamin K. Heiner; John D. Hedengren
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Paper Abstract

Reconstruction of 3D objects from UAV EO imagery yields useful information, but can be time consuming and computationally expensive. View planning reduces processing time by selecting the optimal image set needed to reconstruct a scene. This paper demonstrates how view planning is used in a targeted manner to select a subset of images from a large existing image set to model specific vehicles or structures. Potential applications of the method include enabling 3D target classification algorithms and rapid geo-location. The method could also facilitate on-board reconstruction. The view planning algorithm is tested on five different targets, and is shown to reduce processing time for target models by up to a factor of 50 with little decrease in accuracy.

Paper Details

Date Published: 27 April 2018
PDF: 11 pages
Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 106450D (27 April 2018); doi: 10.1117/12.2304436
Show Author Affiliations
R. Abraham Martin, Brigham Young Univ. (United States)
Benjamin K. Heiner, Air Force Research Lab. (United States)
John D. Hedengren, Brigham Young Univ. (United States)

Published in SPIE Proceedings Vol. 10645:
Geospatial Informatics, Motion Imagery, and Network Analytics VIII
Kannappan Palaniappan; Peter J. Doucette; Gunasekaran Seetharaman, Editor(s)

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