Registration of Hyperspectral and Trichromatic Images via Cross Cumulative Residual Entropy Maximisation
File version
Author(s)
Pickering, Mark
Robles-Kelly, Antonio
Zhou, Jun
Jia, Xiuping
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Wai-Kuen Cham, Fernando Pereira
Date
Size
503781 bytes
File type(s)
application/pdf
Location
Hong Kong, PEOPLES R CHINA
License
Abstract
In this paper we address the problem of image fusion between imagery acquired by trichromatic sensors and hyperspectral imagers. We do this by presenting a method aimed at registering a high-resolution trichromatic image with lower resolution hyperspectral data. The method presented here maps the hyperspectral image into the grayscale image so as to employ the cross cumulative residual entropy for purposes of multimodal registration. We illustrate the utility of our approach by presenting registration results on a set of surveillance image pairs consisting of a set of high-oblique colour and hyperspectral images.
Journal Title
Conference Title
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Item Access Status
Note
Access the data
Related item(s)
Subject
Image processing