D-Resunet: Resunet and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8891871/8897702/08898392.pdf?arnumber=8898392
Cited by 21 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. RUW-Net: A Dual Codec Network for Road Extraction From Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
2. D-FusionNet: road extraction from remote sensing images using dilated convolutional block;GIScience & Remote Sensing;2023-10-25
3. MSCSA-Net: Multi-Scale Channel Spatial Attention Network for Semantic Segmentation of Remote Sensing Images;Applied Sciences;2023-08-22
4. MADnet: a Multiple Attention Decoder Network for Segmentation of Remote Sensing Images;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17
5. Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
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