D-Resunet: Resunet and Dilated Convolution for High Resolution Satellite Imagery Road Extraction-Reference-Cited by-同舟云学术

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D-Resunet: Resunet and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Liu Zhiqun,Feng Ruyi,Wang Lizhe,Zhong Yanfei,Cao Liqin

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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