Multiband and Lossless Compression of Hyperspectral Images

Author： Pizzolante Raffaele Carpentieri Bruno

Publisher： MDPI

E-ISSN： 1999-4893|9|1|16-16

ISSN： 1999-4893

Source： Algorithms, Vol.9, Iss.1, 2016-02, pp. : 16-16

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Hyperspectral images are widely used in several real-life applications. In this paper, we investigate on the compression of hyperspectral images by considering different aspects, including the optimization of the computational complexity in order to allow implementations on limited hardware (i.e., hyperspectral sensors, etc.). We present an approach that relies on a three-dimensional predictive structure. Our predictive structure, 3D-MBLP, uses one or more previous bands as references to exploit the redundancies among the third dimension. The achieved results are comparable, and often better, with respect to the other state-of-art lossless compression techniques for hyperspectral images.