文献
J-GLOBAL ID:201802282569542802
整理番号:18A1072130
存在と背景学習アルゴリズムを用いた都市域における航空機搭載LIDARデータの1クラス分類【JST・京大機械翻訳】
One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm
著者 (6件):
Ao Zurui
(Key Laboratory of 3D Information Acquisition of Education Ministry, School of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, China)
,
Su Yanjun
(State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China)
,
Su Yanjun
(Sierra Nevada Research Institute, School of Engineering, University of California, Merced, CA 95343, USA)
,
Li Wenkai
(Guangdong Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)
,
Guo Qinghua
(State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China)
,
Zhang Jing
(Key Laboratory of 3D Information Acquisition of Education Ministry, School of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, China)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
9
号:
10
ページ:
1001
発行年:
2017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)