文献
J-GLOBAL ID:202202258321615238
整理番号:22A1163481
深いIRターゲット:二重領域特徴抽出と割当を用いた赤外線画像の自動ターゲット検出器【JST・京大機械翻訳】
Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation
著者 (6件):
Zhang Ruiheng
(School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China)
,
Xu Lixin
(School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China)
,
Yu Zhengyu
(School of Electrical and Data Engineering, Faculty of Electronic and Information Technology, University of Technology Sydney, Sydney, NSW, Australia)
,
Shi Ye
(School of Information Science and Technology, Shanghaitech University, Shanghai, China)
,
Mu Chengpo
(School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China)
,
Xu Min
(School of Electrical and Data Engineering, Faculty of Electronic and Information Technology, University of Technology Sydney, Sydney, NSW, Australia)
資料名:
IEEE Transactions on Multimedia
(IEEE Transactions on Multimedia)
巻:
24
ページ:
1735-1749
発行年:
2022年
JST資料番号:
W1116A
ISSN:
1520-9210
CODEN:
ITMUF8
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)