DMFNet: Dual-Encoder Multistage Feature Fusion Network for Infrared Small Target Detection-Reference-Cited by-同舟云学术

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DMFNet: Dual-Encoder Multistage Feature Fusion Network for Infrared Small Target Detection

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Guo Tan¹^ORCID,Zhou Baojiang¹,Luo Fulin²^ORCID,Zhang Lei³^ORCID,Gao Xinbo⁴^ORCID

Affiliation:

1. School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

2. College of Computer Science, Chongqing University, Chongqing, China

3. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China

4. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

Open Project of the Center for Applied Mathematics of Jiangsu Province

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Municipality

Key Scientific and Technological Innovation Project for “Chengdu-Chongqing Double City Economic Circle”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10466752.pdf?arnumber=10466752

Reference52 articles.

1. A Lightweight Infrared Small Target Detection Network Based on Target Multiscale Context

2. Airborne Infrared Imaging Simulation for Target Recognition

3. Classification of small boats in infrared images for maritime surveillance

4. Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution

5. Review on recent development in infrared small target detection algorithms

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