Wavelet Packets for Time-frequency Analysis of Multispectral Imagery
نویسندگان
چکیده
Multispectral geospatial image sets retain the scene’s spatial and spectral information. To jointly use both of them for analysis purposes, we propose to extend the concept of wavelet packets, by introducing a new integrated multispectral entropy function. Each spectral band is individually decomposed by the wavelet packets transform, and then the entropy term is jointly guided by information from all bands, simultaneously. Finally, the wavelet packets coefficients undergo a dimension reduction process. We present examples of this theory applied to hyperspectral satellite imagery.
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