Advanced search
Publication Cover
European Journal of Remote Sensing Volume 48, 2015 - Issue 1
Submit an article Journal homepage
723
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Discrimination of residential and industrial buildings using LiDAR data and an effective spatial-neighbor algorithm in a typical urban industrial park

Ligang MaInstitute of Applied Remote Sensing & Information Technology, Zhejiang University, 310058, Hangzhou, China
,
Di WuThe 2nd Surveying and Mapping Institute of Zhejiang, 310012, Hangzhou, China
,
Jingsong DengInstitute of Applied Remote Sensing & Information Technology, Zhejiang University, 310058, Hangzhou, China;School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, 73019, Norman, USA
,
Ke WangInstitute of Applied Remote Sensing & Information Technology, Zhejiang University, 310058, Hangzhou, ChinaCorrespondence[email protected]
,
Jun LiInstitute of Applied Remote Sensing & Information Technology, Zhejiang University, 310058, Hangzhou, China;School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, 73019, Norman, USA
,
Qing GuInstitute of Applied Remote Sensing & Information Technology, Zhejiang University, 310058, Hangzhou, China
&
Yunzhuo DaiZhejiang Land Surveying and Planning Institute, 310007, Hangzhou, China
 show all
Pages 1-15 | Received 11 Jan 2014, Accepted 08 Jan 2015, Published online: 17 Feb 2017

Reprints and Permissions

This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, reproduction in any medium, provided the original work is properly cited.

You are not required to obtain permission to reuse this article in part or whole.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.