Abstract
This paper describes algorithms for detecting and classifying objects such as tanks and trucks in forward-looking infrared (FLIR) imagery. It summarizes research conducted in the course of a two-year project in the areas of image modeling, pre- and post-processing, segmentation, feature extraction, and classification.
The support of the Defense Advanced Research Projects Agency and the U.S. Army Night Vision Laboratory under Contract DAAG-53-76C-0138 (DARPA Order 3206) is gratefully acknowledged, as is the help of Kathryn Riley in preparing this paper.
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© 1981 Springer-Verlag Berlin Heidelberg
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Milgram, D.L., Rosenfeld, A. (1981). Object detection in infrared images. In: Bloc, L., Kulpa, Z. (eds) Digital Image Processing Systems. Lecture Notes in Computer Science, vol 109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-10705-3_7
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DOI: https://doi.org/10.1007/3-540-10705-3_7
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