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Multi-spectral infrared target identification method based on feature optimization and fusion

An infrared target and recognition method technology, applied in the field of image recognition, can solve the problems of reducing the classification accuracy and generalization ability of the classifier, and achieve the effect of reducing time and improving efficiency

Pending Publication Date: 2021-02-12
HARBIN INST OF TECH +1
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Problems solved by technology

[0004] The purpose of the present invention is to propose a multi-spectrum infrared target recognition method based on feature optimization and fusion, using the method of transfer learning, by improving the network structure of GoogLeNet, to solve the problem that redundant information will reduce the classification accuracy and generalization of the classifier ability problem

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  • Multi-spectral infrared target identification method based on feature optimization and fusion
  • Multi-spectral infrared target identification method based on feature optimization and fusion
  • Multi-spectral infrared target identification method based on feature optimization and fusion

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Embodiment Construction

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] refer to figure 1 Shown, a kind of multi-spectral infrared target recognition method based on feature selection and fusion, described multi-spectral infrared target recognition method comprises the following steps:

[0021] Step 1. First extract the multi-dimensional features of the multi-spectral infrared target image. The extracted features include: radiation mean value, radiation third-order moment, radiation standard deviation, radiation consistency, ...

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Abstract

The invention discloses a multi-spectral infrared target recognition method based on feature optimization and fusion, and belongs to the technical field of image recognition. Compared with an infraredtarget identification method researched at present, the method provided by the invention uses a feature optimization method and a feature fusion method. Redundant information of the original featurespace is reduced from two different angles. The feature dimension required for training the classifier is greatly reduced, the universality of the classifier is improved, and the method is also suitable for application scenes with small data scales.

Description

technical field [0001] The invention relates to a multi-spectrum infrared target recognition method based on feature optimization and fusion, and belongs to the technical field of image recognition. Background technique [0002] Image recognition is an important field of artificial intelligence. It is widely used in military field, medical field, financial field and many other industries. For some application scenarios that require all-weather work, it is difficult to meet the requirements of using a single visible light imaging to identify targets. Infrared images are passive imaging, and can be imaged well at night, and extreme weather such as fog has little impact on infrared imaging. Therefore, infrared target recognition technology has high research value. [0003] At present, most infrared target recognition technologies are designed based on machine learning theory. Designing efficient and robust image features is the core of image classification tasks, and the re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/143G06F18/2132G06F18/2135G06F18/2411G06F18/24147G06F18/214G06F18/253
Inventor 杨春玲李雨泽武艳伟刘光宏张岩丛明煜李坡于鲲陈臻炜
Owner HARBIN INST OF TECH
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