Paper
14 May 2019 Evaluation of target detection methods and the study of accuracy improvement toward the application to MDA with hyperspectral imaging
Author Affiliations +
Abstract
In recent years, Maritime Domain Awareness (MDA) has become important for national defense in Japan. Target detection using hyperspectral data is useful for MDA. In this study, we found that Correlation Matched Filter (CMF) has a better detection accuracy than Spectral Matched Filter (SMF), both of which are derived from Reed-Xiaoli Detector. CMF doesn't need to calculate the average value of the background spectrum, which is also advantageous in real-time processing. In addition, we could also show that it is possible to improve the detection accuracy by band selection in CMF. This increases the detection accuracy of foreign matter on the ocean.
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Takaaki Ito, Daiki Nakaya, Shin Satori, Mitsuharu Shiwa, and Tomonori Ito "Evaluation of target detection methods and the study of accuracy improvement toward the application to MDA with hyperspectral imaging", Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 1098614 (14 May 2019); https://doi.org/10.1117/12.2516525
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KEYWORDS
Electronic filtering

Target detection

RGB color model

Statistical analysis

Optical filters

Hyperspectral imaging

Sensors

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