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Evaluation of target detection methods and the study of accuracy improvement toward the application to MDA with hyperspectral imaging
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Paper 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.

Paper Details

Date Published: 14 May 2019
PDF: 20 pages
Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 1098614 (14 May 2019); doi: 10.1117/12.2516525
Show Author Affiliations
Takaaki Ito, Happy Science Univ. (Japan)
Daiki Nakaya, Happy Science Univ. (Japan)
Shin Satori, Happy Science Univ. (Japan)
Mitsuharu Shiwa, Happy Science Univ. (Japan)
Tomonori Ito, Hokkaido Satellite Co., Ltd. (Japan)


Published in SPIE Proceedings Vol. 10986:
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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