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Proceedings Paper

An efficient approach for site-specific scenery prediction in surveillance imaging near Earth's surface
Author(s): Juha Jylhä; Kalle Marjanen; Mikko Rantala; Petri Metsäpuro; Ari Visa
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Paper Abstract

Surveillance camera automation and camera network development are growing areas of interest. This paper proposes a competent approach to enhance the camera surveillance with Geographic Information Systems (GIS) when the camera is located at the height of 10-1000 m. A digital elevation model (DEM), a terrain class model, and a flight obstacle register comprise exploited auxiliary information. The approach takes into account spherical shape of the Earth and realistic terrain slopes. Accordingly, considering also forests, it determines visible and shadow regions. The efficiency arises out of reduced dimensionality in the visibility computation. Image processing is aided by predicting certain advance features of visible terrain. The features include distance from the camera and the terrain or object class such as coniferous forest, field, urban site, lake, or mast. The performance of the approach is studied by comparing a photograph of Finnish forested landscape with the prediction. The predicted background is well-fitting, and potential knowledge-aid for various purposes becomes apparent.

Paper Details

Date Published: 29 September 2006
PDF: 11 pages
Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 636508 (29 September 2006); doi: 10.1117/12.689918
Show Author Affiliations
Juha Jylhä, Tampere Univ. of Technology (Finland)
Kalle Marjanen, Tampere Univ. of Technology (Finland)
Mikko Rantala, Elektrobit Ltd. (Finland)
Petri Metsäpuro, Nokia (Finland)
Ari Visa, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 6365:
Image and Signal Processing for Remote Sensing XII
Lorenzo Bruzzone, Editor(s)

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