A moving ISAR-object recognition using pi-sigma neural networks based on histogram of oriented gradient of edge-Reference-Cited by-同舟云学术

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A moving ISAR-object recognition using pi-sigma neural networks based on histogram of oriented gradient of edge

Published:2021-08-12 Issue: Volume: Page:1-19
ISSN:1947-9832
Container-title:International Journal of Image and Data Fusion
language:en
Short-container-title:International Journal of Image and Data Fusion

Author:

Elyounsi Asma¹²³^ORCID,Tlijani Hatem²,Bouhlel M.S.³

Affiliation:

1. National Engineering School of Gabès, University of Gabès, Gabès, Tunisia

2. The Higher Institute of Applied Sciences & Technology of Gafsa, University of Gafsa, Tunisia

3. Research Unit: Sciences and Technologies of the Image and Telecommunications (SETIT), ISBS BP 1175, 3038, University of Sfax, Tunisia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/19479832.2021.1953620

Reference37 articles.

1. An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification

Cited by 3 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. Detection of Marine Oil Spills Based on HOG Feature and SVM Classifier;Journal of Sensors;2022-12-06

2. ISAR-Image recognition using optimized HONN by a Metaheuristic algorithm;2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT);2022-05-28

3. Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions;Information Sciences;2022-03

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