Work

LiDAR Point Clouds to 3-D Urban Models$:$ A Review

Year: 2018

Type: article

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI: 10.1109/jstars.2017.2781132

Authors: Ruisheng Wang, Jiju Peethambaran, Dong Chen

Institutions: University of Calgary, Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Nanjing Forestry University

Language: English

Topic: 3D Surveying and Cultural Heritage

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: National Natural Science Foundation of China, China Scholarship Council

Awards: G251742388, G3950173225

OpenAlex ID: W2785825007

FWCI: 19.93

Cites: 209

Cited by: 339

Related to: 10