文献
J-GLOBAL ID:201802243181077421
整理番号:18A1614306
LiDARデータと修正侵入雑草最適化アルゴリズムを用いた森林キャノピー下のDTM抽出【JST・京大機械翻訳】
DTM extraction under forest canopy using LiDAR data and a modified invasive weed optimization algorithm
著者 (3件):
Bigdeli Behnaz
(Department of Civil Engineering, Shahrood University of Technology, Shahrood, Iran)
,
Amini Amirkolaee Hamed
(Center of Excellence in Geomatics Eng. in Disaster Management, School of Surveying and Geospatial Eng., College of Eng., University of Tehran, Tehran, Iran)
,
Pahlavani Parham
(Center of Excellence in Geomatics Eng. in Disaster Management, School of Surveying and Geospatial Eng., College of Eng., University of Tehran, Tehran, Iran)
資料名:
Remote Sensing of Environment
(Remote Sensing of Environment)
巻:
216
ページ:
289-300
発行年:
2018年
JST資料番号:
C0252B
ISSN:
0034-4257
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)