Abstract
Aiming at the low signal to noise ratio (SNR) and weak anti-interference problem of single band detection, we use a method called Joint Skewness-Kurtosis figure (JSFK) to select the optimal waveband. Firstly, the expression of infrared signal detection is given and the coupling and random characteristics of the detection process are analyzed. Then based on the statistical theory and utilizing the non-Gaussian distribution characteristic of JSKF method, the optimal wavebands of multispectral are selected. From the selection results, the wavebands selected by the JSKF method distribute dispersively in the band 2μm~15μm and have strong complementarity, which can better reflect the multispectral characteristics of target radiation. Finally, the wavebands selected by the IABC, ECA and JSKF methods are respectively fused by the PCA method. The experiment results show that the fusion effect of JSKF method is superior to the IABC and ECA methods. Besides, the JSKF method can realize real-time processing of multispectral signals detected by the airborne, which is significant for infrared target detection.
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