Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation

Mahmudul Hasan*, Mark Pickering, Antonio Robles-Kelly, Jun Zhou, Xiuping Jia

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
    Pages2329-2332
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
    Duration: 26 Sept 201029 Sept 2010

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    ISSN (Print)1522-4880

    Conference

    Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
    Country/TerritoryHong Kong
    CityHong Kong
    Period26/09/1029/09/10

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