DEDU-Net: Dual-Encoder-Decoder-U-Net for road extraction from high-resolution remote sensing images
Author:
Affiliation:
1. College of Electrics Engineering, Heilongjiang University, Harbin, PR China
Funder
National Natural Science Foundations of China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2343138
Reference33 articles.
1. Alex, K., I. Sutskever, and G. E. Hinton. 2012. “ImageNet Classification with Deep Convolutional Neural Networks.” In Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1, 1097–1105. NIPS’12. Red Hook, NY, USA: Curran Associates Inc.
2. CSANet: Cross-Scale Axial Attention Network for Road Segmentation
3. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
4. Development and prospect of road extraction method for optical remote sensing image
5. DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
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