CHANGE DETECTION BETWEEN DIGITAL SURFACE MODELS FROM AIRBORNE LASER SCANNING AND DENSE IMAGE MATCHING USING CONVOLUTIONAL NEURAL NETWORKS

8 citations as recorded by crossref.

1. Pixel-Level and Object-Level Combined 3D Building Change Detection Method 志. 张 10.12677/GST.2023.113024
2. Automatic 3D Multiple Building Change Detection Model Based on Encoder–Decoder Network Using Highly Unbalanced Remote Sensing Datasets M. Gomroki et al. 10.1109/JSTARS.2023.3328561
3. Transformer-based multimodal change detection with multitask consistency constraints B. Liu et al. 10.1016/j.inffus.2024.102358
4. Three Dimensional Change Detection Using Point Clouds: A Review A. Kharroubi et al. 10.3390/geomatics2040025
5. Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data Z. Zhang et al. 10.3390/rs11202417
6. Object-based 3D building change detection using point-level change indicators L. Zhang et al. 10.1016/j.jag.2023.103293
7. An object based framework for building change analysis using 2D and 3D information of high resolution satellite images H. Mohammadi & F. Samadzadegan 10.1016/j.asr.2020.05.041
8. Analysis and Verification of Building Changes Based on Point Clouds from Different Sources and Time Periods U. Marmol & N. Borowiec 10.3390/rs15051414