Improvement of detection rates via data association

Carole E. Nahum; Hubert M. J. Cantalloube

doi:10.1117/12.177760

10 June 1994 Improvement of detection rates via data association

Carole E. Nahum, Hubert M. J. Cantalloube

Proceedings Volume 2232, Signal Processing, Sensor Fusion, and Target Recognition III; (1994) https://doi.org/10.1117/12.177760
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

The relevance of data association is analyzed for the very crucial problem of detection. Statistical decision theory is applied in order to establish the optical detection test for a multisensor system. the optimal high threshold, optimal low threshold, and optimal linear tests are also derived. These four tests have been illustrated in the simplest case of a two-sensor system with a known and constant signal, and a modeling of the sensor noises. The decision regions are displayed and the performances are compared.

Citation Download Citation

Carole E. Nahum and Hubert M. J. Cantalloube "Improvement of detection rates via data association", Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); https://doi.org/10.1117/12.177760

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