MPGSE-D-LinkNet: Multiple-Parameters-Guided Squeeze-and-Excitation Integrated D-LinkNet for Road Extraction in Remote Sensing Imagery-Reference-Cited by-同舟云学术

MPGSE-D-LinkNet: Multiple-Parameters-Guided Squeeze-and-Excitation Integrated D-LinkNet for Road Extraction in Remote Sensing Imagery

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Ai Jiaqiu¹^ORCID,Hou Shaofan²^ORCID,Wu Mingyang²,Chen Bin²^ORCID,Yan Hao³

Affiliation:

1. School of Computer Science and Information Engineering, Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China

2. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

3. School of Mechanical Engineering, Hefei University of Technology, Hefei, China

Funder

National Natural Science Foundation of China

Hefei Municipal Natural Science Foundation

Fundamental Research Funds for the Central Universities of China

open fund of Information Materials and Intelligent Sensing Laboratory of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10225551.pdf?arnumber=10225551

Reference17 articles.

1. Coordinate Attention for Efficient Mobile Network Design

2. CBAM: Convolutional block attention module;woo;Proc Eur Conf Comput Vis,2018

3. Automatic Road Extraction from High-Resolution Remote Sensing Images Using a Method Based on Densely Connected Spatial Feature-Enhanced Pyramid

4. Squeeze-and-Excitation Networks

Cited by 4 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. A Review of Deep Learning-Based Methods for Road Extraction from High-Resolution Remote Sensing Images;Remote Sensing;2024-06-07

2. Utilization of Improved Annotations From Object-Based Image Analysis as Training Data for DeepLab V3+ Model: A Focus on Road Extraction in Very High-Resolution Orthophotos;IEEE Access;2024

3. CFRNet: Road Extraction in Remote Sensing Images Based on Cascade Fusion Network;IEEE Geoscience and Remote Sensing Letters;2024

4. A Speed-up Channel Attention Technique for Accelerating the Learning Curve of a Binarized Squeeze-and-Excitation (SE) Based ResNet Model;Journal of Advances in Information Technology;2024