In this paper, we first derived the average energy of sub-image blocks from wavelet decomposition, get the texture and structural features in multi-scale signal of object on digital airphoto, then describe how to cons...
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ISBN:
(纸本)0964345692
In this paper, we first derived the average energy of sub-image blocks from wavelet decomposition, get the texture and structural features in multi-scale signal of object on digital airphoto, then describe how to construct the parameters of sub-image blocks to recognize objects, lastly we make use of texture and structure, with spectrum features to classify digital airphoto and recognize ground objects. The experiments show that the method of feature extraction based on wavelet transform can be applied to airphoto.
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