A method, system, device and medium for motion target classification based on time-varying domain three-feature combination
By using a time-varying domain three-feature joint method, the feature values of underwater target signals are extracted using Fourier transform, and a three-dimensional feature space is established. This solves the problem of difficulty in distinguishing between weak targets at long distances and background noise in existing technologies, and achieves effective underwater target identification and classification.
CN118626969BActive Publication Date: 2026-06-26HARBIN ENG UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN ENG UNIV
- Filing Date
- 2024-06-11
- Publication Date
- 2026-06-26
Smart Images
Figure CN118626969B_ABST
Abstract
A kind of motion target classification method, system, device and medium based on time-varying domain three characteristics joint belong to signal classification technical field, solve the problem that the existing classification method using eigenvalue extraction needs to learn a large amount of data in the analysis and processing of these characteristics, and there will be redundant features.This method first receives motion sound source signal, segments with equal time interval;Then Fourier transform is carried out to each small piece of segmented signal to extract line spectrum signal;After that, each small piece of line spectrum signal is transformed to obtain three kinds of characteristic values;Finally, three-dimensional feature space is established using the three characteristic values, and the distribution of two kinds of signals existing motion target signal and only background noise is analyzed to realize the classification of weak target signal and background noise.The present application is suitable for underwater moving target identification classification scene.
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