Multi-Task Deep Network for Semantic Segmentation of Building in Very High Resolution Imagery-Reference-Cited by-同舟云学术

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Multi-Task Deep Network for Semantic Segmentation of Building in Very High Resolution Imagery

Published:2021-03-22 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference of Technology, Science and Administration (ICTSA)
language:
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Author:

Moghalles Khaled,Li Heng-Chao,Al-Huda Zaid,Hezzam Essa Abdullah

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9406508/9406514/09406538.pdf?arnumber=9406538

Cited by 6 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. EUNet: Edge-UNet for Accurate Building Extraction and Edge Emphasis in Gaofen-7 Images;Remote Sensing;2024-06-29

2. Sat2rain: Multiple Satellite Images to Rainfall Amounts Conversion By Improved GAN;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12

3. Comparison of Semantic Segmentation Deep Learning Methods for Building Extraction;2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM);2022-11-22

4. Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions;IET Image Processing;2022-09-27

5. Weakly supervised building semantic segmentation via superpixel‐CRF with initial deep seeds guiding;IET Image Processing;2022-06-25

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