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Jul 3, 2023 · We propose an early fusion network with RGB and surface model images that provide complementary geometric data to improve road surface extraction.
Jul 12, 2023 · We propose an early fusion network with RGB and surface model images that provide complementary geometric data to improve road surface ...
Oct 22, 2024 · Deep Learning Multimodal Fusion for Road Network Extraction: Context and Contour Improvement. January 2023; IEEE Geoscience and Remote Sensing ...
This work proposes an early fusion network with RGB and surface model images that provide complementary geometric data to improve road surface extraction ...
Nov 6, 2024 · Deep Learning Multimodal Fusion for Road Network Extraction: Context and Contour Improvement ,Science hub Mutual Aid community.
Jul 3, 2023 · Deep Learning Multimodal Fusion for Road Network Extraction: Context and Contour Improvement. IEEE Geosci. Remote Sens. Lett. Pub Date : 2023 ...
This study presents an innovative approach for automatic road detection with deep learning, by employing fusion strategies for utilizing both lower-resolution ...
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This paper provides a systematic review of deep learning-based methods for road extraction from remote sensing images
Mar 6, 2024 · This paper systematically reviews and summarizes the deep-learning-based techniques for automatic road extraction from high-resolution remote sensing images.
A semantic segmentation neural network, which combines the strengths of residual learning and U-Net, is proposed for road area extraction.