Abstract:We present a quasi-wavelet based approach for multiresolution unsupervised and supervised vegetation classification of videography imagery. Due to certain limitations of the traditional wavelet decomposition, we investigate a new quasi-wavelet decomposition to generate an alternative feature space for vegetation classification. Most existing wavelet-based classification approaches only consider the information on low-low frequency subspace at each decomposed stage. However, both low and high frequency features… Show more
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