Semantic supported urban change detection using ALS point clouds

Author:

Fang LiORCID,Liu Jinzhou,Pan YueORCID,Ye Zhen,Tong Xiaohua

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference43 articles.

1. Building change detection from LiDAR point cloud data based on connected component analysis;Awrangjeb;ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.,2015

2. Champion, N., Rottensteiner, F., Matikainen, L., Liang, X., Hyyppä, J., Olsen, B., 2009. A test of automatic building change detection approaches. In: Proceedings of CMRT09. pp. 03–04.

3. An object-based bidirectional method for integrated building extraction and change detection between multimodal point clouds;Dai;Remote Sens.,2020

4. Urb3DCD: Urban Point Clouds Simulated Dataset for 3D Change Detection;de Gélis,2021

5. High-resolution mapping of near-field deformation with airborne earth observation data, a comparison study;Ekhtari;IEEE Trans. Geosci. Remote Sens.,2017

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