文献
J-GLOBAL ID:201802284870015121
整理番号:18A1686941
全波形LIDARデータを用いた都市環境の分類のためのサンプリング技術とアンサンブル分類器の相乗効果【JST・京大機械翻訳】
Synergy of sampling techniques and ensemble classifiers for classification of urban environments using full-waveform LiDAR data
著者 (6件):
Azadbakht Mohsen
(Cooperative Research Centre for Spatial Information, VIC 3053, Australia)
,
Azadbakht Mohsen
(Department of Infrastructure Engineering, University of Melbourne, VIC 3010, Australia)
,
Azadbakht Mohsen
(Remote Sensing and GIS research Centre, Faculty of Earth Sciences, Shahid Beheshti University, Tehran 653641255, Iran)
,
Fraser Clive S.
(Cooperative Research Centre for Spatial Information, VIC 3053, Australia)
,
Fraser Clive S.
(Department of Infrastructure Engineering, University of Melbourne, VIC 3010, Australia)
,
Khoshelham Kourosh
(Department of Infrastructure Engineering, University of Melbourne, VIC 3010, Australia)
資料名:
International Journal of Applied Earth Observation and Geoinformation
(International Journal of Applied Earth Observation and Geoinformation)
巻:
73
ページ:
277-291
発行年:
2018年
JST資料番号:
W3181A
ISSN:
1569-8432
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)