Study on interspectrum-prediction method adopted for compression of hyperspectral image
Mei Jiangtao, Yong Li · Computer Engineering and Applications Journal · 2011
Hyperspectral images have higher spectral resolution than normal images,however this advantage is at the cost of massy quantity of data that brings difficulties to image storage and transmission.So it is very important to search an effective compression algorithm for hyperspectral images.A hyperspectral image compression algorithm based on spectral prediction is proposed in this paper.Considering that as the spectral resolution of hyperspectral image increases,its spectral correlation becomes more significant,the algorithm used to solve the coefficients of the predictor by using multi-band to predict the current band linearly is derived,and an optimization way of selecting reference bands is proposed.The experiment results show that lower MMSE can be gotten,and it runs fast,so it works efficiently in practice.