Affinity Pansharpening and Image Fusion

Stephen Tierney, Junbin Gao, Yi Guo

Research output: Book chapter/Published conference paperConference paper

Abstract

A novel framework for enhancing the resolution of a low-resolution multispectral or hyperspectral image using a high resolution panchromatic image or multispectral image is proposed in this paper. This framework can be further used to perform more general types of image fusion. To create the enhanced image, a convex objective function is minimised, which preserves both the pixel affinity learnt from the high resolution image and spectral information from the low resolution image. A fast approximation method is discussed. Quantitive and qualitative analysis against existing methods shows that our method is comparable to state of the art with faster running time and greater flexibility. MATLAB code for our proposed method and the compared methods are freely available in the FuseBox package.
Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-8
Number of pages8
ISBN (Electronic)9781479954094
DOIs
Publication statusPublished - 2014
Event2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Novotel Wollongong Northbeach Hotel, Wollongong, Australia
Duration: 25 Nov 201427 Nov 2014
https://ssl.informatics.uow.edu.au/dicta2014/

Conference

Conference2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
CountryAustralia
CityWollongong
Period25/11/1427/11/14
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is an International Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established as a biennial conference in 1991 and became an annual event in 2007. It is the premier conference of the Australian Pattern Recognition Society (APRS).
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  • Cite this

    Tierney, S., Gao, J., & Guo, Y. (2014). Affinity Pansharpening and Image Fusion. In Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2014.7008094