HA U-Net: Improved Model for Building Extraction From High Resolution Remote Sensing Imagery-Reference-Cited by-同舟云学术

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HA U-Net: Improved Model for Building Extraction From High Resolution Remote Sensing Imagery

Published:2021 Issue: Volume:9 Page:101972-101984
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Leilei^ORCID,Liu Yujun,Yang Peng,Chen Hao,Zhang Hanyue,Wang Dan,Zhang Xin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09486859.pdf?arnumber=9486859

Cited by 23 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. Unrestricted region and scale: Deep self-supervised building mapping framework across different cities from five continents;ISPRS Journal of Photogrammetry and Remote Sensing;2024-03

2. Dual Hybrid Attention Mechanism-Based U-Net for Building Segmentation in Remote Sensing Images;Applied Sciences;2024-02-04

3. EA U²-Net: An Efficient Building Extraction Algorithm Based on Complex Background Information;IEEE Access;2024

4. Performance Analysis of Various EfficientNet-Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images;Smart Innovation, Systems and Technologies;2024

5. AC-UNet: lane line detection based on U-Net network fusion attention mechanism and cross convolution;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-12-15

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