| Paper: | SPTM-P13.5 | ||
| Session: | Detection and Classification | ||
| Time: | Friday, May 21, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Detection, Estimation, and Class. Thry & Apps. | ||
| Title: | DETECTION PERFORMANCE FOR DISCRETE TEST STATISTICS. APPLICATION TO LOW-FLUX IMAGERY. | ||
| Authors: | André Ferrari; Université de Nice - Sophia Antipolis | ||
| Jean-Yves Tourneret; ENSEEIHT/TéSA | |||
| Abstract: | This communication studies a measure of detection performance for testing binary hypotheses by using discrete test statistics. This measure is the area under the receiver operating characteristics. This theory is applied to the detection of changes in low-flux images with the Neyman Pearson detector. An approximation of this measure can be derived. It allows to define a specific signal to noise ratio for the low-flux detector. | ||
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