文献
J-GLOBAL ID:202102248210651206
整理番号:21A2436366
U-Netに基づく世界ビュー衛星画像を用いた都市村のための深層学習セグメンテーションと分類【JST・京大機械翻訳】
Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net
著者 (10件):
Pan Zhuokun
(College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China)
,
Pan Zhuokun
(Guangdong Youyuan Land Information Technology Co., Ltd, Guangzhou 510642, China)
,
Pan Zhuokun
(School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, IL 62901, USA)
,
Xu Jiashu
(College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China)
,
Guo Yubin
(College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China)
,
Hu Yueming
(College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China)
,
Hu Yueming
(Guangdong Provincial Key Laboratory of Land Use and Consolidation, Guangzhou 510642, China)
,
Hu Yueming
(Guangdong Provincial Land Information Engineering Research Center, Guangzhou 510642, China)
,
Hu Yueming
(Guangzhou South China Research Institute of Natural Resource Science and Technology, Guangzhou 510640, China)
,
Wang Guangxing
(School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, IL 62901, USA)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
12
号:
10
ページ:
1574
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)