文献
J-GLOBAL ID:201802224826369192
整理番号:18A1244588
光学およびレーダデータによる都市土地被覆分類への多様体学習アプローチ【JST・京大機械翻訳】
A manifold learning approach to urban land cover classification with optical and radar data
著者 (10件):
Zhang Hongsheng
(Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong)
,
Zhang Hongsheng
(Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China)
,
Li Jiang
(Old Dominion University, United States)
,
Wang Ting
(Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong)
,
Lin Hui
(Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong)
,
Lin Hui
(Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China)
,
Lin Hui
(Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong)
,
Zheng Zezhong
(University of Electronic Science and Technology of China, China)
,
Li Yu
(Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong)
,
Lu Yufeng
(University of Electronic Science and Technology of China, China)
資料名:
Landscape and Urban Planning
(Landscape and Urban Planning)
巻:
172
ページ:
11-24
発行年:
2018年
JST資料番号:
E0618B
ISSN:
0169-2046
CODEN:
LUPLEZ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)