文献
J-GLOBAL ID:201802297015066681
整理番号:18A1486476
ALS点雲におけるFallenツリーの強化セグメンテーションのための制約条件付き確率場の学習【JST・京大機械翻訳】
Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds
著者 (6件):
Polewski Przemyslaw
(Dept. of Geoinformatics, Munich University of Applied Sciences, 80333 Munich, Germany)
,
Polewski Przemyslaw
(Photogrammetry and Remote Sensing, Technische Universitaet Muenchen, 80333 Munich, Germany)
,
Yao Wei
(Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)
,
Heurich Marco
(Dept. of Conservation and Research, Bavarian Forest National Park, 94481 Grafenau, Germany)
,
Krzystek Peter
(Dept. of Geoinformatics, Munich University of Applied Sciences, 80333 Munich, Germany)
,
Stilla Uwe
(Photogrammetry and Remote Sensing, Technische Universitaet Muenchen, 80333 Munich, Germany)
資料名:
ISPRS Journal of Photogrammetry and Remote Sensing (International Society for Photogrammetry and Remote Sensing)
(ISPRS Journal of Photogrammetry and Remote Sensing (International Society for Photogrammetry and Remote Sensing))
巻:
140
ページ:
33-44
発行年:
2018年
JST資料番号:
H0048A
ISSN:
0924-2716
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)