BUILDING EXTRACTION FROM REMOTE SENSING DATA USING FULLY CONVOLUTIONAL NETWORKS

56 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. 10.1016/j.jobe.2023.107682
2. Building rooftop extraction from aerial imagery using low complexity UNet variant models A. Ramalingam et al. 10.1080/14498596.2024.2302166
3. Building Extraction from Airborne Multi-Spectral LiDAR Point Clouds Based on Graph Geometric Moments Convolutional Neural Networks D. Li et al. 10.3390/rs12193186
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. 10.1080/14498596.2023.2217782
5. Remote Sensing and Deep Learning to Understand Noisy OpenStreetMap M. Usmani et al. 10.3390/rs15184639
6. Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States H. Yang et al. 10.1109/JSTARS.2018.2835377
7. Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF) Q. Li et al. 10.1109/TGRS.2020.2973720
8. IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images M. Sheikh et al. 10.1109/ACCESS.2022.3164401
9. Integration of Deep Learning Algorithms and Bilateral Filters with the Purpose of Building Extraction from Mono Optical Aerial Imagery M. Khoshboresh Masouleh et al. 10.29252/jgit.7.2.241
10. Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction S. Li et al. 10.3390/rs15102585
11. LCS: A Collaborative Optimization Framework of Vector Extraction and Semantic Segmentation for Building Extraction Z. Liu et al. 10.1109/TGRS.2022.3215852
12. Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network D. Zhou et al. 10.3390/s20247241
13. Oil palm plantation mapping from high-resolution remote sensing images using deep learning R. Dong et al. 10.1080/01431161.2019.1681604
14. MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery Q. Zhu et al. 10.1109/TGRS.2020.3026051
15. A Novel Deep Learning Approach for High-Resolution Satellite-Based DEM Filtering J. Singla et al. 10.1007/s12524-024-01902-5
16. Deep learning-based method for reconstructing three-dimensional building cadastre models from aerial images M. Khoshboresh Masouleh & S. Sadeghian 10.1117/1.JRS.13.024508
17. 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. 10.1071/WF19041
18. Memory-Contrastive Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery J. Chen et al. 10.1109/TGRS.2023.3262576
19. Improving building rooftop segmentation accuracy through the optimization of UNet basic elements and image foreground-background balance J. Yang et al. 10.1016/j.isprsjprs.2023.05.013
20. Meta-analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines S. Heydari & G. Mountrakis 10.1016/j.isprsjprs.2019.04.016
21. Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling M. Wurm et al. 10.3390/ijgi10010023
22. MSANet: an improved semantic segmentation method using multi-scale attention for remote sensing images X. Zhang et al. 10.1080/2150704X.2022.2142075
23. Leveraging topology for domain adaptive road segmentation in satellite and aerial imagery J. Iqbal et al. 10.1016/j.isprsjprs.2023.10.020
24. Optimization of OpenStreetMap Building Footprints Based on Semantic Information of Oblique UAV Images X. Zhuo et al. 10.3390/rs10040624
25. Which CAM is Better for Extracting Geographic Objects? A Perspective From Principles and Experiments Q. Su et al. 10.1109/JSTARS.2022.3188493
26. Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction S. Shrestha & L. Vanneschi 10.3390/rs10071135
27. Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data A. Abdollahi et al. 10.3390/rs13183710
28. Skin cancer image segmentation utilizing a novel EN-GWO based hyper-parameter optimized FCEDN R. Mohakud & R. Dash 10.1016/j.jksuci.2021.12.018
29. Revealing Urban Color Patterns via Drone Aerial Photography—A Case Study in Urban Hangzhou, China R. Li & M. Wu 10.3390/buildings14020546
30. Web-Net: A Novel Nest Networks with Ultra-Hierarchical Sampling for Building Extraction from Aerial Imageries Y. Zhang et al. 10.3390/rs11161897
31. Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting M. Giannopoulos et al. 10.3390/rs16112020
32. Building Extraction from UAV Images Jointly Using 6D-SLIC and Multiscale Siamese Convolutional Networks H. He et al. 10.3390/rs11091040
33. Building detection by local region features in SAR images S. Ye et al. 10.18287/2412-6179-CO-703
34. : An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images G. Andresini et al. 10.1109/JSTARS.2023.3312521
35. Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification K. Bittner et al. 10.3390/rs11111262
36. The role of machine intelligence in photogrammetric 3D modeling – an overview and perspectives R. Qin & A. Gruen 10.1080/17538947.2020.1805037
37. Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture A. Abdollahi et al. 10.1109/ACCESS.2020.3038225
38. Census-independent population mapping in northern Nigeria E. Weber et al. 10.1016/j.rse.2017.09.024
39. Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification J. Wang et al. 10.1109/JSTARS.2020.3041859
40. Revolutionizing urban mapping: deep learning and data fusion strategies for accurate building footprint segmentation P. Dabove et al. 10.1038/s41598-024-64231-0
41. Urban morphology in China: Dataset development and spatial pattern characterization H. Li et al. 10.1016/j.scs.2021.102981
42. 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 10.1016/j.isprsjprs.2019.07.009
43. A Large-Scale Multipurpose Benchmark Dataset and Real-Time Interpretation Platform Based on Chinese Rural Buildings W. Deng et al. 10.1109/JSTARS.2024.3386830
44. Building detection in high spatial resolution remote sensing imagery with the U-Rotation Detection Network J. Yang et al. 10.1080/01431161.2019.1587200
45. PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation J. Kang et al. 10.1109/JSTARS.2021.3119286
46. Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks K. Bittner et al. 10.1109/JSTARS.2018.2849363
47. Fusion of deep learning with adaptive bilateral filter for building outline extraction from remote sensing imagery M. Masouleh & R. Shah-Hosseini 10.1117/1.JRS.12.046018
48. Automatic Building Footprint Extraction from Multi-Resolution Remote Sensing Images Using a Hybrid FCN P. Schuegraf & K. Bittner 10.3390/ijgi8040191
49. A baseline structure inventory with critical attribution for the US and its territories H. Yang et al. 10.1038/s41597-024-03219-x
50. Building Extraction in Very High Resolution Imagery by Dense-Attention Networks H. Yang et al. 10.3390/rs10111768
51. EUNet: Edge-UNet for Accurate Building Extraction and Edge Emphasis in Gaofen-7 Images R. Han et al. 10.3390/rs16132397
52. Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City P. Misra et al. 10.3390/rs10122008
53. Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting M. Villia et al. 10.3390/s22051851
54. 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. 10.3390/s19051164
55. Investigations on extraction of buildings from RS imagery using deep learning models V. Srivastava et al. 10.1080/01431161.2023.2292016
56. Skin lesion segmentation using fully convolutional networks: A comparative experimental study R. Kaymak et al. 10.1016/j.eswa.2020.113742