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A complex background target recognition method based on multi-dimensional information fusion

A complex background and target recognition technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as limited use of prior information, complexity of database and information processing, ambiguity of target measurement, etc., to achieve full feature information , The amount of feature information is more, and the effect of improving comprehensiveness

Active Publication Date: 2020-09-08
XIAN ZHONGKE PHOTOELECTRIC PRECISION ENG CO LTD
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Problems solved by technology

[0003] The above-mentioned information fusion theories and methods already have a relatively high theoretical level, but the traditional theories and algorithms cannot achieve multi-dimensional target information fusion and target recognition in an unbalanced complex environment. The main reasons are clutter and strong environment randomness, ambiguity of target measurement, non-repeatability of target maneuver characteristics, limited utilization of prior information, limited database, and complexity of information processing

Method used

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  • A complex background target recognition method based on multi-dimensional information fusion
  • A complex background target recognition method based on multi-dimensional information fusion
  • A complex background target recognition method based on multi-dimensional information fusion

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Embodiment Construction

[0040] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, where the schematic embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0041] Such as figure 1 As shown, it shows the whole process of multi-dimensional information fusion and target recognition, figure 2 Shown is feature information fusion.

[0042] Among them, A and B are two original images, F is the fused image, and the fusion steps are:

[0043] Step 1. Perform Laplacian pyramid decomposition on each source image separately, and establish the Laplacian pyramid of each image.

[0044] Step 2. Fusion processing is performed on each decomposed layer of the image pyramid respectively. Different decomposition layers are fused with different fusion operators, and finally the Laplciain pyramid of the fused image is obtained.

[0045] Step 3. Perform inver...

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Abstract

The invention discloses a complex background target recognition method based on multi-dimensional information fusion. Multi-sensors collect information in a complex background to obtain heterogeneous information, and the target information value is obtained after collection information fusion, feature information fusion, decision-making information fusion and identification. Among them, the result of decision information fusion is fed back to the collection information fusion module and feature information fusion module, and the parameters of each fusion module are adjusted in time, and the optimal system parameters are achieved after multiple sets of data. The invention fuses the detected multi-dimensional information to improve the accuracy and reliability of target recognition. The present invention can be used for precise identification and tracking of targets in fields such as biomedicine, satellite remote sensing, robot vision, cargo detection, target tracking, autonomous vehicle navigation, public security, banking, transportation, military affairs, and multimedia network communication.

Description

technical field [0001] The invention belongs to the technical field of target recognition, and in particular relates to a complex background target recognition technology based on multi-dimensional information fusion. The present invention is a kind of activities such as identification or tracking after the multi-dimensional information is fused under the complex background. Background technique [0002] At present, target recognition technology has been widely used in biomedicine, satellite remote sensing, robot vision, cargo detection, target tracking, autonomous vehicle navigation, public security, banking, transportation, military, e-commerce and multimedia network communications and other fields. Information fusion methods mainly include trajectory splitting method, Gaussian sum method, integer programming method, multiple hypothesis method, joint probability data association method and decentralized estimation method, etc.; target recognition and classification methods...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/507G06F18/2135G06F18/2411G06F18/253
Inventor 舒磊吴易明朱帆苏国威王永旺
Owner XIAN ZHONGKE PHOTOELECTRIC PRECISION ENG CO LTD
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