Towards perfecting road extraction: the fusion of dilated convolution-based layers and vision transformer
Author:
Affiliation:
1. Electronics and Communication Engineering, PET Engineering College, Vallioor, India
2. Department of Computer Science and Engineering, Jansons Institute of Technology, Coimbatore, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/14498596.2024.2309605
Reference35 articles.
1. VNet: An End-to-End Fully Convolutional Neural Network for Road Extraction From High-Resolution Remote Sensing Data
2. Road Extraction from High-Resolution Orthophoto Images Using Convolutional Neural Network
3. A new approach for road extraction using data augmentation and semantic segmentation
4. Effectiveness of Training Sample and Features for Random Forest on Road Extraction from Unmanned Aerial Vehicle-Based Point Cloud
5. SW-GAN: Road Extraction from Remote Sensing Imagery Using Semi-Weakly Supervised Adversarial Learning
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