Title | ||
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Underwater Target Detection With Hyperspectral Data: Solutions for Both Known and Unknown Water Quality |
Abstract | ||
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In this paper, we present various bathymetric filters, based on the well-known matched filter (MF), adaptive MF, and adaptive cosine/coherence estimator detectors, for underwater target detection from hyperspectral remote-sensing data. In the case of unknown water characteristics, we also propose the GLRT-based bathymetric filter, which is a generalized likelihood ratio test-based filter that esti... |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/JSTARS.2012.2185488 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Estimation,Hyperspectral imaging,Covariance matrix,Water,Training,Detectors,Object detection | Computer vision,Object detection,Likelihood-ratio test,Remote sensing,A priori and a posteriori,Hyperspectral imaging,Artificial intelligence,Covariance matrix,Matched filter,Mathematics,Underwater,Estimator | Journal |
Volume | Issue | ISSN |
5 | 4 | 1939-1404 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sylvain Jay | 1 | 18 | 3.25 |
Mireille Guillaume | 2 | 126 | 10.62 |
Jacques Blanc-Talon | 3 | 780 | 50.64 |