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dc.contributor.authorAmankwah, A.
dc.contributor.authorAldrich, Chris
dc.date.accessioned2017-01-30T11:44:50Z
dc.date.available2017-01-30T11:44:50Z
dc.date.created2016-05-02T19:30:22Z
dc.date.issued2015
dc.identifier.citationAmankwah, A. and Aldrich, C. 2015. A spatial information measure method for hyperspectral image visualization, in Proceedings of the 2015 IEEE International Geoscience and remote sensing symposium (IGARSS), pp. 4542-4545. Jul 26-31 2015. Milan: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/14613
dc.identifier.doi10.1109/IGARSS.2015.7326838
dc.description.abstract

This paper presents a new band selection method for the visualization of hyperspectral images. The method selects three relevant spectral bands to build the red-green-blue composite. The proposed method uses not only mutual information, but also spatial information to select the bands. Results from the proposed method are presented and compared to other state-of-the-art methods in terms of informative content, gradient magnitude and variance. The results show that the proposed method compares favourably with alternative approaches.

dc.titleA spatial information measure method for hyperspectral image visualization
dc.typeConference Paper
dcterms.source.volume2015-November
dcterms.source.startPage4542
dcterms.source.endPage4545
dcterms.source.titleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dcterms.source.seriesInternational Geoscience and Remote Sensing Symposium (IGARSS)
dcterms.source.isbn9781479979295
curtin.departmentDept of Mining Eng & Metallurgical Eng
curtin.accessStatusFulltext not available


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