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Technical gazette, Vol. 27 No. 5, 2020.

Original scientific paper

https://doi.org/10.17559/TV-20190104103349

Research on Target Detection Algorithm of Radar and Visible Image Fusion Based on Wavelet Transform

Dahui Li* ; School of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang, 161006, P. R. China
Qi Fan ; School of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang, 161006, P. R. China
Jianzhao Cui ; School of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang, 161006, P. R. China
Dehai Huang ; School of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang, 161006, P. R. China
Jinku Han ; School of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang, 161006, P. R. China

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Abstract

The target detection rate of unmanned surface vehicle is low because of waves, fog, background clutter and other environmental factors on the interference. Therefore, the paper studies the target detection algorithm of radar and visible image fusion based on wavelet transform. The visible image is preprocessed to ensure the detection effect. The multi-scale fractal model is used to extract the target features, and the difference between the fractal features of the target and the background is used to detect the target. The radar image is denoised by a combination of median filtering and wavelet transform. The processed visible light and radar image are fused with wavelet transform strategy. The coefficients of the low frequency sub-band are processed by the average fusion strategy. The coefficients of the high frequency sub-band are processed using a strategy with a higher absolute value. The standard deviation, the spatial frequency and the contrast resolution of the image fusion result are compared. The simulation results show that the processed image is better than the unprocessed image after the fusion.

Keywords

image fusion; target detection; wavelet transform

Hrčak ID:

244775

URI

https://hrcak.srce.hr/244775

Publication date:

17.10.2020.

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