SEMANTIC SEGMENTATION OF AERIAL IMAGES IN URBAN AREAS WITH CLASS-SPECIFIC HIGHER-ORDER CLIQUES

11 citations as recorded by crossref.

1. Building area extraction from the high spatial resolution remote sensing imagery W. Shi et al. 10.1007/s12145-018-0355-5
2. High-Resolution Remote Sensing Image Classification Using Associative Hierarchical CRF Considering Segmentation Quality Y. Yang et al. 10.1109/LGRS.2018.2804345
3. Waypoint Generation in Satellite Images Based on a CNN for Outdoor UGV Navigation M. Sánchez et al. 10.3390/machines11080807
4. A tutorial on modelling and inference in undirected graphical models for hyperspectral image analysis U. Gewali & S. Monteiro 10.1080/01431161.2018.1465614
5. 3-D Instance Segmentation of MVS Buildings J. Chen et al. 10.1109/TGRS.2022.3183567
6. Automatic detection of urban area from the remote sensing imagery based on improved D-S evidence theory W. Shi & Z. Mao 10.1080/13682199.2017.1327198
7. Artificial Intelligence Techniques for Landslides Prediction Using Satellite Imagery A. Sharma et al. 10.1109/ACCESS.2024.3446037
8. Road networks as collections of minimum cost paths J. Wegner et al. 10.1016/j.isprsjprs.2015.07.002
9. Radiation search operations using scene understanding with autonomous UAV and UGV G. Christie et al. 10.1002/rob.21723
10. Active Autonomous Aerial Exploration for Ground Robot Path Planning J. Delmerico et al. 10.1109/LRA.2017.2651163
11. Deep learning for building segmentation and change detection in urban monitoring: ‘Study case: Zenata City’ M. Moulay et al. 10.1088/2631-8695/ae024f