BEmST: Multiframe Infrared Small-Dim Target Detection Using Probabilistic Estimation of Sequential Backgrounds-Reference-Cited by-同舟云学术

BEmST: Multiframe Infrared Small-Dim Target Detection Using Probabilistic Estimation of Sequential Backgrounds

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Deng He¹^ORCID,Zhang Yonglei¹^ORCID,Li Yuqing¹,Cheng Kai¹,Chen Zhong²^ORCID

Affiliation:

1. School of Computer Science and Technology and Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan University of Science and Technology, Wuhan, China

2. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

“The 14th Five Year Plan” Hubei Provincial Advantaged Characteristic Disciplines (Groups) Project of Wuhan University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10521471.pdf?arnumber=10521471

Reference43 articles.

1. A Multiscale Fuzzy Metric for Detecting Small Infrared Targets Against Chaotic Cloudy/Sea-Sky Backgrounds

2. A Spatial-Temporal Feature-Based Detection Framework for Infrared Dim Small Target

3. Infrared small-dim target detection based on Markov random field guided noise modeling

4. Small Infrared Target Detection Based on Weighted Local Difference Measure

5. Infrared Patch-Image Model for Small Target Detection in a Single Image

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