文献
J-GLOBAL ID:201802265018348931
整理番号:18A1073346
オブジェクトベース画像解析における土地被覆分類のための高次元性と低サンプルサイズの特徴選択解【JST・京大機械翻訳】
Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis
著者 (9件):
Huang Yaohuan
(Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
,
Huang Yaohuan
(College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)
,
Zhao Chuanpeng
(Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
,
Zhao Chuanpeng
(College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)
,
Yang Haijun
(State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China)
,
Song Xiaoyang
(College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China)
,
Chen Jie
(Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
,
Li Zhonghua
(Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
,
Li Zhonghua
(College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
9
号:
9
ページ:
939
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)