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- W2590709231 abstract "This work documents the performance of a recently proposed generalized likelihood ratio test (GLRT) algorithm in detecting thermal point-source targets against a sky background. A calibrated source is placed above the horizon at various ranges and then imaged using a mid-wave infrared camera. The proposed algorithm combines a so-called shrinkage estimator of the background covariance matrix and an iterative maximum likelihood estimator of the point-source parameters to produce the GLRT statistic. It is clearly shown that the proposed approach results in better detection performance than either standard energy detection or previous implementations of the GLRT detector." @default.
- W2590709231 created "2017-03-03" @default.
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- W2590709231 date "2017-02-23" @default.
- W2590709231 modified "2023-10-17" @default.
- W2590709231 title "Experimental infrared point-source detection using an iterative generalized likelihood ratio test algorithm" @default.
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- W2590709231 doi "https://doi.org/10.1364/ao.56.001872" @default.
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