AUTOMATIC URBAN ILLEGAL BUILDING DETECTION USING MULTI-TEMPORAL SATELLITE IMAGES AND GEOSPATIAL INFORMATION SYSTEMS

9 citations as recorded by crossref.

1. Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures Y. He et al. https://doi.org/10.3390/app9224954
2. Detection of illegal constructions in urban cities: comparing LIDAR data and stereo KOMPSAT-3 images with development plans B. Varol et al. https://doi.org/10.1080/22797254.2019.1604082
3. CRMNet: Development of a Deep-Learning-Based Anchor-Free Detection Method for Illegal Building Objects L. Zhou et al. https://doi.org/10.1142/S0218001423520079
4. Large-Area Full-Coverage Remote Sensing Image Collection Filtering Algorithm for Individual Demands B. Chu et al. https://doi.org/10.3390/su132313475
5. CBGW-YOLOv8: An Improved Model for Intelligent Monitoring of Construction Projects in Remote Sensing Images S. Dang et al. https://doi.org/10.1109/JSTARS.2025.3610197
6. A New High-Precision and Lightweight Detection Model for Illegal Construction Objects Based on Deep Learning W. Liu et al. https://doi.org/10.26599/TST.2023.9010090
7. Towards smart city supervision: A detection pipeline for illegal buildings W. Liu et al. https://doi.org/10.1016/j.engappai.2025.113052
8. Automatic detection of illegally constructed buildings using single epoch UAV data H. Acar https://doi.org/10.17714/gumusfenbil.1856457
9. High-precision automatic detection method of illegal construction object images in complex scenes W. Liu et al. https://doi.org/10.1117/1.JEI.32.3.031803