Contributions to Multisensor Hyperspectral Image Fusion for Brian Cancer Detection

Abstract

Hyperspectral (HS) imaging fusion combines information from different sensors to obtain an HS cube with improved spatial and spectral resolution. This paper describes the contributions to HS imaging fusion using push-broom HS cameras covering the range from 400 to 1700 nm. These cameras are located in a scanning platform, providing different fields of view. For this reason, it is necessary to register both images prior to the fusion process. Different transformations were applied to register both images. Finally, the fusion of the spectra was performed to obtain as HS image that covers the range between 400 and 1700 nm.