Voxel Change: Big Data–Based Change Detection for Aerial Urban LiDAR of Unequal Densities-Reference-Cited by-同舟云学术

Voxel Change: Big Data–Based Change Detection for Aerial Urban LiDAR of Unequal Densities

Published:2021-11 Issue:4 Volume:147 Page:04021023
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Aljumaily Harith¹,Laefer Debra F.²^ORCID,Cuadra Dolores³,Velasco Manuel⁴

Affiliation:

1. Visiting Professor, Dept. of Computer Science and Engineering, Carlos III Univ. of Madrid, Ave. Universidad 30, Madrid 28911, Spain.

2. Professor, Center for Urban Science and Progress and Dept. of Civil and Urban Engineering, Tandon School of Engineering, New York Univ., 370 Jay St., Brooklyn, NY 11201 (corresponding author). ORCID: .

3. Associate Professor, Dept. of Computer Science, Universidad Rey Juan Carlos, Calle Tulipán, Mótoles, Madrid 28933, Spain.

4. Associate Professor, Dept. of Computer Science and Engineering, Carlos III Univ. of Madrid, Ave. Universidad 30, Madrid 28911, Spain.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000356

Reference35 articles.

1. VECTOR-RASTER DATA FUSION FOR OBJECT EXTRACTION

2. Urban Point Cloud Mining Based on Density Clustering and MapReduce

3. Integration of Lidar Data and GIS Data for Point Cloud Semantic Enrichment at the Point Level

4. BUILDING CHANGE DETECTION FROM LIDAR POINT CLOUD DATA BASED ON CONNECTED COMPONENT ANALYSIS

5. An Effective Data-Driven Method for 3-D Building Roof Reconstruction and Robust Change Detection

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