Sorry, you need to enable JavaScript to visit this website.

Resolution Enhancement for Hyperspectral Images: A Super-Resolution and Fusion Approach

Citation Author(s):
Chiman Kwan, Joon Hee Choi, Stanley Chan, Jin Zhou, and Bence Budavari
Submitted by:
Chiman Kwan
Last updated:
8 March 2017 - 12:29pm
Document Type:
Presentation Slides
Document Year:
2017
Event:
Presenters:
Chiman Kwan
Paper Code:
1516
Categories:
 

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.

up
0 users have voted: