文献
J-GLOBAL ID:202102289469541605
整理番号:21A2569063
高分解能リモートセンシング画像における高速R-CNNと空間解析法に基づく煙突検出【JST・京大機械翻訳】
Chimney Detection Based on Faster R-CNN and Spatial Analysis Methods in High Resolution Remote Sensing Images
著者 (7件):
Han Chunming
(Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)
,
Han Chunming
(School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China)
,
Li Guangfu
(Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)
,
Li Guangfu
(School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China)
,
Ding Yixing
(Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)
,
Yan Fuli
(Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)
,
Bai Linyan
(Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
20
号:
16
ページ:
4353
発行年:
2020年
JST資料番号:
U7015A
ISSN:
1424-8220
CODEN:
SENSC9
資料種別:
逐次刊行物 (A)
記事区分:
短報
発行国:
スイス (CHE)
言語:
英語 (EN)