文献
J-GLOBAL ID:202002270100309762
整理番号:20A2447206
修正U-Netフレームワークに基づく大規模SAR画像のための効率的な変化検出【JST・京大機械翻訳】
An Efficient Change Detection for Large SAR Images Based on Modified U-Net Framework
著者 (5件):
Wei Jujie
(Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing 100036, China)
,
Zhang Yonghong
(Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing 100036, China)
,
Wu Hong’an
(Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing 100036, China)
,
Cui Bin
(Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing 100036, China)
,
Cui Bin
(School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)
資料名:
Canadian Journal of Remote Sensing
(Canadian Journal of Remote Sensing)
巻:
46
号:
3
ページ:
272-294
発行年:
2020年
JST資料番号:
W5800A
ISSN:
0703-8992
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)