文献
J-GLOBAL ID:202202241283064978
整理番号:22A0397429
ハイパースペクトル画像分類のためのMAPフレームワークにおける深さ方向分離可能ResNet【JST・京大機械翻訳】
Depthwise Separable ResNet in the MAP Framework for Hyperspectral Image Classification
著者 (8件):
Li Kui
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
,
Ma Zhiguo
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
,
Xu Linlin
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
,
Chen Ye
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
,
Ma Yiyi
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
,
Wu Wei
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
,
Wang Fang
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
,
Liu Zihao
(School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China)
資料名:
IEEE Geoscience and Remote Sensing Letters
(IEEE Geoscience and Remote Sensing Letters)
巻:
19
ページ:
ROMBUNNO.5500305.1-5
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)