Morphology-based detection/discrimination of ground vehicles in terrain board FLIR imagery

Tamar Peli; Dave Widder; Stephen J. Plante; Peter T. Monsen; Laura Fulton Bennett

doi:10.1117/12.213073

5 July 1995 Morphology-based detection/discrimination of ground vehicles in terrain board FLIR imagery

Tamar Peli, Dave Widder, Stephen J. Plante, Peter T. Monsen, Laura Fulton Bennett

Proceedings Volume 2485, Automatic Object Recognition V; (1995) https://doi.org/10.1117/12.213073
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This paper describes a unified set of algorithms for the detection and discrimination of ground vehicles in second generation FLIR imagery. The computational substrate uses morphological signal processing and fractal analysis for a potential high-speed hardware implementation. The reported results are focused on the discrimination stage of the overall process. We demonstrate significant false alarm reduction through the use of textural and structural measures and a multistage discrimination procedure. The multistage discrimination process combines hard thresholding and fuzzy classification logic.

Citation Download Citation

Tamar Peli, Dave Widder, Stephen J. Plante, Peter T. Monsen, and Laura Fulton Bennett "Morphology-based detection/discrimination of ground vehicles in terrain board FLIR imagery", Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); https://doi.org/10.1117/12.213073

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