文献
J-GLOBAL ID:202002257773442744
整理番号:20A1067828
ニューラルネットワークと伝統的アプローチ融合に基づく自動ターゲット認識のための赤外線画像複雑度計量【JST・京大機械翻訳】
Infrared Image Complexity Metric for Automatic Target Recognition Based on Neural Network and Traditional Approach Fusion
著者 (5件):
Wang Xiaotian
(School of Astronautics, Northwestern Polytechnical University, Xi’an City, Shaanxi Province, People’s Republic of China)
,
Zhang Kai
(School of Astronautics, Northwestern Polytechnical University, Xi’an City, Shaanxi Province, People’s Republic of China)
,
Yan Jie
(School of Astronautics, Northwestern Polytechnical University, Xi’an City, Shaanxi Province, People’s Republic of China)
,
Xing Muzeng
(School of Astronautics, Northwestern Polytechnical University, Xi’an City, Shaanxi Province, People’s Republic of China)
,
Yang Dongsheng
(School of Astronautics, Northwestern Polytechnical University, Xi’an City, Shaanxi Province, People’s Republic of China)
資料名:
Arabian Journal for Science and Engineering
(Arabian Journal for Science and Engineering)
巻:
45
号:
4
ページ:
3245-3255
発行年:
2020年
JST資料番号:
W4051A
ISSN:
2193-567X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)