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

20 citations as recorded by crossref.

1. Concepts and techniques for web-based visualization and processing of massive 3D point clouds with semantics S. Discher et al.
2. Urban change detection with airborne LiDAR for hostilities’ impact estimation: a case study of Kharkiv S. Kostrikov & D. Serohin
3. Detection and Classification of Changes in Buildings from Airborne Laser Scanning Data S. Xu et al.
4. Building Change Detection Using Old Aerial Images and New LiDAR Data S. Du et al.
5. Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery E. Protopapadakis et al.
6. Change Detection in Urban Point Clouds: An Experimental Comparison with Simulated 3D Datasets I. de Gélis et al.
7. Deep unsupervised learning for 3D ALS point clouds change detection I. de Gélis et al.
8. Effective Generation and Update of a Building Map Database Through Automatic Building Change Detection from LiDAR Point Cloud Data M. Awrangjeb
9. Neural network-based 3D point cloud detection of targets in unstructured environments D. Wang et al.
10. Urban area change visualization and analysis using high density spatial data from time series aerial images C. Altuntas
11. Voxel Change: Big Data–Based Change Detection for Aerial Urban LiDAR of Unequal Densities H. Aljumaily et al.
12. PBFormer: Point and Bi-Spatiotemporal Transformer for Pointwise Change Detection of 3D Urban Point Clouds M. Han et al.
13. Synergistic object-based multi-class feature extraction in urban landscape using airborne LiDAR data S. Jawak et al.
14. Mevlana Türbesi Civarında Oluşan Kentsel Gelişim ve Değişimlerin Hava Fotogrametrisi Verilerinden Yararlanarak Görüntülenmesi C. ALTUNTAŞ
15. Change detection of urban objects using 3D point clouds: A review U. Stilla & Y. Xu
16. The use of Otsu algorithm and multi-temporal airborne LiDAR data to detect building changes in urban space R. dos Santos et al.
17. Change Detection in Point Clouds Using 3D Fractal Dimension J. Casas-Rosa et al.
18. Update approaches and methods for digital building models – literature review R. Hellmuth
19. Hyperspectral lidar point cloud segmentation based on geometric and spectral information B. Chen et al.
20. The performance of the digital city projects in urban studies of the megalopolises (the case studies of Kharkiv and Dnipro cities) S. Kostrikov et al.