Resolution enhancement for hyperspectral images: A super-resolution and fusion approach
Chiman Kwan, Joon Hee Choi, Stanley H. Chan, Jin Zhou, Bence Budavari
Abstract
Many remote sensing applications require a high-resolution hyperspectral image. However, resolutions of most hyperspectral imagers are limited to tens of meters. Existing resolution enhancement techniques either acquire additional multispectral band images or use a pan band image. The former poses hardware challenges, whereas the latter has limited performance. In this paper, we present a new resolution enhancement method that only requires a color image. Our approach integrates two newly developed techniques in the area: (1) A hybrid color mapping algorithm, and (2) A Plug-and-Play algorithm for single image super-resolution. Comprehensive experiments using real hyperspectral images are conducted to validate and evaluate the proposed method.
BibTeX
@inproceedings{icassp2017_resolutionenhanc,
title = {Resolution enhancement for hyperspectral images: A super-resolution and fusion approach},
author = {Chiman Kwan and Joon Hee Choi and Stanley H. Chan and Jin Zhou and Bence Budavari},
booktitle = {ICASSP 2017},
year = {2017}
}