A spatial information measure method for hyperspectral image visualization
dc.contributor.author | Amankwah, A. | |
dc.contributor.author | Aldrich, Chris | |
dc.date.accessioned | 2017-01-30T11:44:50Z | |
dc.date.available | 2017-01-30T11:44:50Z | |
dc.date.created | 2016-05-02T19:30:22Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Amankwah, 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.uri | http://hdl.handle.net/20.500.11937/14613 | |
dc.identifier.doi | 10.1109/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.title | A spatial information measure method for hyperspectral image visualization | |
dc.type | Conference Paper | |
dcterms.source.volume | 2015-November | |
dcterms.source.startPage | 4542 | |
dcterms.source.endPage | 4545 | |
dcterms.source.title | International Geoscience and Remote Sensing Symposium (IGARSS) | |
dcterms.source.series | International Geoscience and Remote Sensing Symposium (IGARSS) | |
dcterms.source.isbn | 9781479979295 | |
curtin.department | Dept of Mining Eng & Metallurgical Eng | |
curtin.accessStatus | Fulltext not available |
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