INFRARED, Volume. 43, Issue 4, 25(2022)

Intelligent Detection and Classification Method of Infrared Image Based on HOG Feature and SVM Classifier

Min-min SONG1、*, Ze-ya ZHOU1, Yan QIU2, Peng SONG1, and Li YAO1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    In order to meet the application requirements of artificial intelligence in target recognition methods, the ability of intelligent classification, recognition and interpretation of massive data is necessary. The data in the infrared target characteristic database is further explored, and the infrared target recognition algorithm based on HOG+SVM is used in the infrared target recognition process. The collected targets such as cars, helicopters, planes, ships and unmanned aerial vehicles are selected, and the infrared target detection and classification algorithm is realized combining the HOG operator and the SVM classification method, so as to realize the intelligent infrared target classification research. It provides support for subsequent further analysis of the target characteristic and seeker intelligent algorithm design.

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    SONG Min-min, ZHOU Ze-ya, QIU Yan, SONG Peng, YAO Li. Intelligent Detection and Classification Method of Infrared Image Based on HOG Feature and SVM Classifier[J]. INFRARED, 2022, 43(4): 25

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    Paper Information

    Received: Dec. 11, 2021

    Accepted: --

    Published Online: Jul. 23, 2022

    The Author Email: Min-min SONG (346308433@qq.com)

    DOI:10.3969/j.issn.1672-8785.2022.04.004

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