Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline-Reference-Cited by-同舟云学术

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Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Shengjia¹^ORCID,Ji Luping¹^ORCID,Zhu Sicheng¹,Ye Mao¹^ORCID,Ren Haohao²^ORCID,Sang Yongsheng³^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. College of Computer Science, Sichuan University, Chengdu, China

Funder

Aeronautical Science Foundation of China

National Natural Science Foundation of China

Miaozi Project in Science and Technology Innovation Program of Sichuan Province

Science Foundation of Ministry of Education (MOE) of China and China Mobile Communications Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10636251.pdf?arnumber=10636251

Reference53 articles.

1. Dense Nested Attention Network for Infrared Small Target Detection

2. ISNet: Shape Matters for Infrared Small Target Detection

3. The design of Top-Hat morphological filter and application to infrared target detection

4. Attentional Local Contrast Networks for Infrared Small Target Detection

5. Relation R-CNN: A Graph Based Relation-Aware Network for Object Detection

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