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Proceedings Paper

Active/passive cooperative image segmentation for automatic target recognition
Author(s): Jean-Yves Dufour; Vincent Martin
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Paper Abstract

This paper deals with the fusion of data delivered by an active LIDAR (light detection and ranging) sensor and a passive FLIR sensor, in the framework of ground-to-ground automatic target recognition (ATR). ATR operators usually analyze features which are measurements of the observed object. Recognition process efficiency highly depends on both variety and stability of these features. Active/passive fusion clearly provides a large amount of miscellaneous data. It is shown here that it can also greatly improve target silhouette extraction and thus increase the stability of morphological features. Target silhouette extraction is performed by an image segmentation algorithm which analyzes LIDAR and FLIR registered images. The main stages of the algorithm are described. Experimental results obtained by processing outdoor scene data are presented.

Paper Details

Date Published: 21 September 1994
PDF: 9 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186569
Show Author Affiliations
Jean-Yves Dufour, Thomson-TRT Defense (France)
Vincent Martin, Thomson-TRT Defense (France)


Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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