Road Extraction Using SVM and Image Segmentation
Author:
Publisher
American Society for Photogrammetry and Remote Sensing
Subject
Computers in Earth Sciences
Cited by 209 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. AM-UNet: Road Network Extraction from high-resolution Aerial Imagery Using Attention-Based Convolutional Neural Network;Journal of the Indian Society of Remote Sensing;2024-08-21
2. Casdenet: Cascade Automatic Road Detection Network Based on Dynamic Snake Convolution and Edge Branch;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
3. Automated Road Extraction with Rapid Visibility During Eartquakes using LiDAR Data;2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS);2024-04-15
4. UnetEdge: A transfer learning-based framework for road feature segmentation from high-resolution remote sensing images;Remote Sensing Applications: Society and Environment;2024-04
5. Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer;Remote Sensing;2024-03-28
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