The wavelet transform as a classification criterion applied to improve compression of hyperspectral images

DANIEL ACEVEDO; ANA RUEDIN

Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology

InTech

Año: 2012; p. 527 - 536

In this work, the well-known LAIS-LUT algorithm (which was developed for hyperspectral images) is improved. This algorithm makes predictions of each pixel using other pixels in the same band. Which pixel is used for prediction is determined by inspecting in the previously encoded band. This algorithm uses two possible candidates for prediction. We introduced the wavelet transform as a tool for classification in order to make better decisions about which of these two possible candidates acts as a more appropriate prediction.