MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images-Reference-Cited by-同舟云学术

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MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images

Published:2024 Issue: Volume:12 Page:45986-46001
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jiang Honghui¹,Luo Tingting²,Peng Hu³^ORCID,Zhang Guozheng⁴^ORCID

Affiliation:

1. School of Internet and Communication, Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China

2. State Gride Wuhu Power Supply Company, Wuhu, China

3. School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, China

4. School of Mechanical Engineering, Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China

Funder

2023 Anhui Province Higher Education Research Project

2022 Anhui Province Higher Education Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10478508.pdf?arnumber=10478508

Reference72 articles.

1. Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Features

2. Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis

3. Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder

4. Remote Sensing Image Fusion Based on Adaptive IHS and Multiscale Guided Filter

5. Ship detection and classification from optical remote sensing images: A survey

Cited by 1 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. R-LRBPNet: A Lightweight SAR Image Oriented Ship Detection and Classification Method;Remote Sensing;2024-04-26

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