A morphology-based method for building change detection using multi-temporal airborne LiDAR data
Author:
Affiliation:
1. The college of land and environment, Shenyang Agriculture University, Shenyang, China
2. The Center for Remote Sensing, Tianjin University, Tianjin, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Tianjin City
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2017.1402384
Reference9 articles.
1. A Methodology for Automated Segmentation and Reconstruction of Urban 3-D Buildings from ALS Point Clouds
2. Object‐based change detection using correlation image analysis and image segmentation
3. Detecting building changes from multitemporal aerial stereopairs
4. Urban building damage detection from very high resolution imagery using OCSVM and spatial features
5. Automatic Detection of Buildings and Changes in Buildings for Updating of Maps
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