ROAD EXTRACTION BASED ON IMPROVED DEEPLABV3 PLUS IN REMOTE SENSING IMAGE

12 citations as recorded by crossref.

1. UBR-Net: Road Extraction from High-Resolution Remote Sensing Imagery Using Multi-Scale Attention and Cross-Residual Encoding J. Yang et al. https://doi.org/10.1080/07038992.2025.2586320
2. A Multistream Attention Network for Airport Runway Subsurface Target Segmentation H. Wang et al. https://doi.org/10.1109/LGRS.2022.3228784
3. Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images W. Feng et al. https://doi.org/10.1109/LGRS.2024.3430900
4. A Multi-Modal Attention Fusion Framework for Road Connectivity Enhancement in Remote Sensing Imagery Y. Yuan et al. https://doi.org/10.3390/math13203266
5. Incorporating Street-View Imagery into Multi-Scale Spatial Analysis of Ride-Hailing Demand Based on Multi-Source Data J. Bao & Y. Li https://doi.org/10.3390/app15126752
6. A Geospatial Approach to Wildfire Risk Modeling Using Machine Learning and Remote Sensing Data R. Gupta & H. Kim https://doi.org/10.1109/JSTARS.2024.3434368
7. Satellite road extraction method based on RFDNet neural network W. Liu et al. https://doi.org/10.3934/era.2023223
8. Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023 Q. Zhu et al. https://doi.org/10.1080/17538947.2024.2390438
9. Mind the gap: revealing sidewalk networks at scale C. Bustos et al. https://doi.org/10.1088/2632-072X/ae35b9
10. GLA-STDeepLab: SAR Enhancing Glacier and Ice Shelf Front Detection Using Swin-TransDeepLab With Global–Local Attention Q. Zhu et al. https://doi.org/10.1109/TGRS.2023.3324404
11. MACER-UNet: A Connected Rural Road Extraction Model Integrating Multi-Scale Perception and Edge Enhancement S. Tang et al. https://doi.org/10.3390/rs18111724
12. Automated Road Extraction from Satellite Imagery Integrating Dense Depthwise Dilated Separable Spatial Pyramid Pooling with DeepLabV3+ A. Mahara et al. https://doi.org/10.3390/app15031027