文献
J-GLOBAL ID:202202261935222675
整理番号:22A0397344
マルチタスク学習に基づくSARターゲットのためのオープンセット認識法【JST・京大機械翻訳】
An Open Set Recognition Method for SAR Targets Based on Multitask Learning
著者 (6件):
Ma Xiaojie
(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, China)
,
Ji Kefeng
(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, China)
,
Zhang Linbin
(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, China)
,
Feng Sijia
(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, China)
,
Xiong Boli
(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, China)
,
Kuang Gangyao
(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, China)
資料名:
IEEE Geoscience and Remote Sensing Letters
(IEEE Geoscience and Remote Sensing Letters)
巻:
19
ページ:
ROMBUNNO.4014005.1-5
発行年:
2022年
JST資料番号:
W1397A
ISSN:
1545-598X
CODEN:
IGRSBY
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)