Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

16 citations as recorded by crossref.

1. Detection and 3D Reconstruction of Buildings from Aerial Images L. Novotortsev & A. Voloboy
2. Sandy Beach Mapping using a Deep Learning Approach: Potential Method for Automated Monitoring of Algerian Coastal Erosion W. Rabehi et al.
3. 2D/3D information fusion for building extraction from high-resolution satellite stereo images using kernel graph cuts H. Mohammadi et al.
4. “Internet+” approach to mapping exposure and seismic vulnerability of buildings in a context of rapid socioeconomic growth: a case study in Tangshan, China W. Qi et al.
5. Building detection by local region features in SAR images S. Ye et al.
6. INTEGRAÇÃO DE DADOS DE IMAGENS ORBITAIS DE ALTA RESOLUÇÃO E ALS PARA DETECÇÃO SEMI-AUTOMÁTICA DE EDIFICAÇÕES EM ÁREAS URBANAS F. Silva & H. Araki
7. Fusion of Remote Sensing and Internet Data to Calculate Urban Floor Area Ratio X. Zhang et al.
8. Acceleration of multi image building recognition algorithm using image preprocessing L. Novotortsev & A. Voloboy
9. Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data S. Ghaffarian et al.
10. Building footprint extraction in Yangon city from monocular optical satellite image using deep learning H. Aung et al.
11. Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset T. Bakirman et al.
12. Post-Disaster Recovery Monitoring with Google Earth Engine S. Ghaffarian et al.
13. A Prior-Guided Dual Branch Multi-Feature Fusion Network for Building Segmentation in Remote Sensing Images Y. Wu et al.
14. Building Extraction From RGB VHR Images Using Shifted Shadow Algorithm X. Gao et al.
15. A Novel Architecture for building rooftop extraction using remote sensing and deep learning Z. Hussain et al.
16. Autonomous Building Detection Using Edge Properties and Image Color Invariants A. Ghandour & A. Jezzini