文献
J-GLOBAL ID:202102283345489797
整理番号:21A2455617
複数の特徴を持つ超高分解能リモートセンシング画像のための深層学習ベースロバスト変化検出アプローチ【JST・京大機械翻訳】
A Deep Learning-Based Robust Change Detection Approach for Very High Resolution Remotely Sensed Images with Multiple Features
著者 (6件):
Huang Lijun
(School of Earth Science and Engineering, Hohai University, Nanjing 211100, China)
,
Huang Lijun
(School of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, China)
,
An Ru
(School of Earth Science and Engineering, Hohai University, Nanjing 211100, China)
,
Zhao Shengyin
(School of Earth Science and Engineering, Hohai University, Nanjing 211100, China)
,
Jiang Tong
(School of Earth Science and Engineering, Hohai University, Nanjing 211100, China)
,
Hu Hao
(School of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, China)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
12
号:
9
ページ:
1441
発行年:
2020年
JST資料番号:
U7270A
ISSN:
2072-4292
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)