D-FusionNet: road extraction from remote sensing images using dilated convolutional block
Published 2023 View Full Article
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Title
D-FusionNet: road extraction from remote sensing images using dilated convolutional block
Authors
Keywords
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Journal
GIScience & Remote Sensing
Volume 60, Issue 1, Pages -
Publisher
Informa UK Limited
Online
2023-10-25
DOI
10.1080/15481603.2023.2270806
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Related references
Note: Only part of the references are listed.- RADANet: Road Augmented Deformable Attention Network for Road Extraction from Complex High-Resolution Remote-Sensing Images
- (2023) Ling Dai et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- SC-RoadDeepNet: A New Shape and Connectivity-preserving Road Extraction Deep Learning-based Network from Remote Sensing Data
- (2022) Abolfazl Abdollahi et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing
- (2022) Haichi Ma et al. Remote Sensing
- SDUNet: Road extraction via spatial enhanced and densely connected UNet
- (2022) Mengxing Yang et al. PATTERN RECOGNITION
- SW-GAN: Road Extraction from Remote Sensing Imagery Using Semi-Weakly Supervised Adversarial Learning
- (2022) Hao Chen et al. Remote Sensing
- ConDinet++: Full-Scale Fusion Network Based on Conditional Dilated Convolution to Extract Roads From Remote Sensing Images
- (2021) Ke Yang et al. IEEE Geoscience and Remote Sensing Letters
- Split Depth-Wise Separable Graph-Convolution Network for Road Extraction in Complex Environments From High-Resolution Remote-Sensing Images
- (2021) Gaodian Zhou et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Review on Active and Passive Remote Sensing Techniques for Road Extraction
- (2021) Jianxin Jia et al. Remote Sensing
- Cascaded Residual Attention Enhanced Road Extraction from Remote Sensing Images
- (2021) Shengfu Li et al. ISPRS International Journal of Geo-Information
- Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
- (2020) Abolfazl Abdollahi et al. Remote Sensing
- Road Extraction in Mountainous Regions from High-Resolution Images Based on DSDNet and Terrain Optimization
- (2020) Zeyu Xu et al. Remote Sensing
- JointNet: A Common Neural Network for Road and Building Extraction
- (2019) Zhengxin Zhang et al. Remote Sensing
- Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss
- (2019) Hao He et al. Remote Sensing
- A Semi-Supervised High-Level Feature Selection Framework for Road Centerline Extraction
- (2019) Ruyi Liu et al. IEEE Geoscience and Remote Sensing Letters
- Road Extraction by Deep Residual U-Net
- (2018) Zhengxin Zhang et al. IEEE Geoscience and Remote Sensing Letters
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network
- (2017) Guangliang Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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