BUILDING EXTRACTION FROM REMOTE SENSING DATA USING FULLY CONVOLUTIONAL NETWORKS

60 citations as recorded by crossref.

1. Systematic assessment method for post-earthquake damage of regional buildings using adaptive-network-based fuzzy inference system W. Zhang et al.
2. Building rooftop extraction from aerial imagery using low complexity UNet variant models A. Ramalingam et al.
3. Building Extraction from Airborne Multi-Spectral LiDAR Point Clouds Based on Graph Geometric Moments Convolutional Neural Networks D. Li et al.
4. Resnet-Unet considering Patches (RUP) network to solve the problem of patches due to shadows in extracting building top information D. Yang et al.
5. Remote Sensing and Deep Learning to Understand Noisy OpenStreetMap M. Usmani et al.
6. Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States H. Yang et al.
7. Leveraging Physical Augmentations From Multiview Remote Sensing Images for Building Segmentation S. Akodad et al.
8. Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF) Q. Li et al.
9. An automated system for 2D building detection from UAV-based geospatial datasets A. Elaksher et al.
10. IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images M. Sheikh et al.
11. Integration of Deep Learning Algorithms and Bilateral Filters with the Purpose of Building Extraction from Mono Optical Aerial Imagery M. Khoshboresh Masouleh et al.
12. Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction S. Li et al.
13. LCS: A Collaborative Optimization Framework of Vector Extraction and Semantic Segmentation for Building Extraction Z. Liu et al.
14. Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network D. Zhou et al.
15. Oil palm plantation mapping from high-resolution remote sensing images using deep learning R. Dong et al.
16. MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery Q. Zhu et al.
17. A Novel Deep Learning Approach for High-Resolution Satellite-Based DEM Filtering J. Singla et al.
18. Deep learning-based method for reconstructing three-dimensional building cadastre models from aerial images M. Khoshboresh Masouleh & S. Sadeghian
19. Object-based post-fire aerial image classification for building damage, destruction and defensive actions at the 2012 Colorado Waldo Canyon Fire D. McNamara et al.
20. Memory-Contrastive Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery J. Chen et al.
21. Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling M. Wurm et al.
22. Deep Learning for Building Attribute Classification from Street-View Images for Seismic Exposure Modeling R. Kumar et al.
23. Deep Learning-Based Building Extraction from Remote Sensing Images: A Comprehensive Review L. Luo et al.
24. MSANet: an improved semantic segmentation method using multi-scale attention for remote sensing images X. Zhang et al.
25. Optimization of OpenStreetMap Building Footprints Based on Semantic Information of Oblique UAV Images X. Zhuo et al.
26. Which CAM is Better for Extracting Geographic Objects? A Perspective From Principles and Experiments Q. Su et al.
27. Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction S. Shrestha & L. Vanneschi
28. Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data A. Abdollahi et al.
29. Skin cancer image segmentation utilizing a novel EN-GWO based hyper-parameter optimized FCEDN R. Mohakud & R. Dash
30. Revealing Urban Color Patterns via Drone Aerial Photography—A Case Study in Urban Hangzhou, China R. Li & M. Wu
31. Web-Net: A Novel Nest Networks with Ultra-Hierarchical Sampling for Building Extraction from Aerial Imageries Y. Zhang et al.
32. Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting M. Giannopoulos et al.
33. Building Extraction from UAV Images Jointly Using 6D-SLIC and Multiscale Siamese Convolutional Networks H. He et al.
34. Building detection by local region features in SAR images S. Ye et al.
35. : An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images G. Andresini et al.
36. Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification K. Bittner et al.
37. The role of machine intelligence in photogrammetric 3D modeling – an overview and perspectives R. Qin & A. Gruen
38. Automatic Building Detection with Polygonizing and Attribute Extraction from High-Resolution Images S. Daranagama & A. Witayangkurn
39. Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture A. Abdollahi et al.
40. LF-UNet: a lightweight encoding–decoding network for building extraction from high-resolution images B. Yuan et al.
41. Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification J. Wang et al.
42. Revolutionizing urban mapping: deep learning and data fusion strategies for accurate building footprint segmentation P. Dabove et al.
43. A Position- and Scale-Aware Object-Agent Classifier via Deep Reinforcement Learning for Remote Sensing Imagery X. Xu et al.
44. Development and evaluation of a deep learning model for real-time ground vehicle semantic segmentation from UAV-based thermal infrared imagery M. Khoshboresh Masouleh & R. Shah-Hosseini
45. A Large-Scale Multipurpose Benchmark Dataset and Real-Time Interpretation Platform Based on Chinese Rural Buildings W. Deng et al.
46. Building detection in high spatial resolution remote sensing imagery with the U-Rotation Detection Network J. Yang et al.
47. PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation J. Kang et al.
48. Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks K. Bittner et al.
49. Fusion of deep learning with adaptive bilateral filter for building outline extraction from remote sensing imagery M. Masouleh & R. Shah-Hosseini
50. Automatic Building Footprint Extraction from Multi-Resolution Remote Sensing Images Using a Hybrid FCN P. Schuegraf & K. Bittner
51. A baseline structure inventory with critical attribution for the US and its territories H. Yang et al.
52. Building Extraction in Very High Resolution Imagery by Dense-Attention Networks H. Yang et al.
53. Assessing flood susceptibility in Hanoi using machine learning and remote sensing: implications for urban health and resilience T. Van Pham et al.
54. EUNet: Edge-UNet for Accurate Building Extraction and Edge Emphasis in Gaofen-7 Images R. Han et al.
55. Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City P. Misra et al.
56. Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting M. Villia et al.
57. Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China Y. Qin et al.
58. Investigations on extraction of buildings from RS imagery using deep learning models V. Srivastava et al.
59. Optimizing Fully Convolutional Encoder-Decoder Network for Segmentation of Diabetic Eye Disease A. Khan et al.
60. A Deep Learning Approach for Automated Building Footprint Extraction from Cartosat Imagery K. Deka et al.