HYPERSPECTRAL RESOLUTION ENHANCEMENT USING HIGH-RESOLUTION IMAGERY WITH WAVELET PACKAGE ALGORITHM AND OPTIMAL INDEX PRINCIPLE

摘要

In this paper, aiming at image displaying and considering the characteristics of hyperspectral data and the requirements of practical application, a new hyperspectral image fusion method is proposed. This wavelet package image fusion approach is based on optimal index principle. The approach first selects optimal fusion bands of hyperspectral data by optimal index to construct synthesized low-resolution colour image and then fuses images by wavelet package algorithm which is based on multi-features in a region. The validity of the approach is testified by hyperspectral PHI data of shanghai area. Experiment shows that this approach can fuse hyperspectral data and high-resolution remote sensing data effectively and keep hyperspectral image's spectral physical characteristics and shape, thus satisfies the requirements of practical applications and provides a better condition for further researches.