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Proceedings Paper

Towards fully automated 3D scene reconstruction using feedback from multiple aerial sensors
Author(s): Michael C. Tarnowski; Dirk B Warnaar
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Paper Abstract

Improvements in remote sensing technology for the collection of high resolution aerial LIDAR and hyperspectral data of urban landscapes have led to increasing interest in rapid 3d scene reconstruction and environment inferencing. In recent years algorithmic strategies fusing aerial LIDAR with hyperspectral data have been proposed to increase the overall confidence in data segmentation by taking advantage of the unique qualities of the data for each sensor type. No technique exists today, however, that fully automates the end-to-end process - from the initial collection of the uncorrected data to the production of a finished, accurate and realistic urban scene. Notwithstanding, key milestones that minimize human intervention have been made, and notable high quality suites of semi-automated tools are available today. In this paper, an alternative strategy towards fully automated building extraction under a variety of terrain relief conditions is presented. Advantages are discussed of multiple sensor feedback loops that update the scene at each segmentation step starting with an initial hypothesis of each feature's classification. The merit of such a strategy from the point of view of implementing it within a fully automated system is presented.

Paper Details

Date Published: 10 May 2007
PDF: 12 pages
Proc. SPIE 6564, Modeling and Simulation for Military Operations II, 65640G (10 May 2007); doi: 10.1117/12.719867
Show Author Affiliations
Michael C. Tarnowski, Applied Research Associates (United States)
Dirk B Warnaar, Applied Research Associates (United States)


Published in SPIE Proceedings Vol. 6564:
Modeling and Simulation for Military Operations II
Kevin Schum; Dawn A. Trevisani, Editor(s)

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