Infrared target detection using deep learning algorithms-Reference-Cited by-同舟云学术

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Infrared target detection using deep learning algorithms

Published:2023-06-11 Issue:8 Volume:17 Page:3993-4000
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Xu Laixiang,Cao Bingxu,Xu Peng,Zhao Fengjie

Funder

中国航空科学基金

Natural Science Foundation of Henan Province

海南省自然科学基金

Hainan University

国家重点研发计划

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02629-5.pdf

Reference26 articles.

1. Chen, Z., Shi, K., Chen, N., et al.: The experimental study about laser induced dizziness effect of medium-wave infrared seeker which based on image processing. J. Vis. Commun. Image Represent. 59, 401–406 (2019)

2. Li, X., Jiang, H., Niu, M., et al.: An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm. Mech. Syst. Signal Process. 142, 1–20 (2020)

3. Zhang, Z., Liu, Y., Chen, X., et al.: Sequential optimization for efficient high-quality object proposal generation. IEEE Trans. Pattern Anal. Mach. Intell. 40(5), 1209–1223 (2018)

4. Shen, F., Deng, H., Yu, L., et al.: Open-source mobile multispectral imaging system and its applications in biological sample sensing. Spectrochim Acta A 280, 121504 (2022)

5. Divya, S., Paul, S., Pati, U.C.: Structure tensor-based SIFT algorithm for SAR image registration. IET Image Process. 14(5), 929–938 (2020)

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2. Infrared Object Detection Based on Improved Twist Tensor Model;IEEE Access;2024

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