Zhang Chunqin

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A main task of geophysical exploration is to remove random noises in seismic data processing to improve the signal-to-noise ratio. Recently wavelet theory is applied widely to remove random noises in seismic data processing. But conventional wavelet threshold de-noising method does not utilize the correlations of seismic data to remove random noises. So a(More)
Target recognition is a key step in the application of SAR images, but because of the existing of speckles in SAR images, targets can not be recognized well by using traditional methods. According to the advantages of invariant moments extraction and support vector machine (SVM) classification, an efficient method of SAR image target recognition is(More)
A main task of geophysical exploration is to remove random noises in seismic data processing to improve the signal-to-noise ratio. Recently wavelet theory is applied widely to remove random noises in seismic data processing. A commonly used de-noising method is represented by Donoho. On the basis of Donoho's wavelet threshold de-noising processing method,(More)
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