Boosted band ratio feature selection for hyperspectral image classification
| dc.contributor.author | Fu, Zhouyu | |
| dc.contributor.author | Caelli, Terry | |
| dc.contributor.author | Liu, Nianjun | |
| dc.contributor.author | Robles-Kelly, Antonio | |
| dc.coverage.spatial | Hong Kong | |
| dc.date.accessioned | 2015-12-08T22:23:35Z | |
| dc.date.created | August 20-24 2006 | |
| dc.date.issued | 2006 | |
| dc.date.updated | 2015-12-08T08:53:39Z | |
| dc.description.abstract | Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorithm for the automatic selection of ratios directly from data. First, a robust | |
| dc.identifier.isbn | 0769525210 | |
| dc.identifier.uri | http://hdl.handle.net/1885/32932 | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE Inc) | |
| dc.relation.ispartofseries | International Conference on Pattern Recognition (ICPR 2006) | |
| dc.source | Proceedings of the 18th International Conference on Pattern Recognition | |
| dc.source.uri | http://ieeexplore.ieee.org/iel5/11159/35817/01698811.pdf?isnumber=35817&prod=CNF&http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=35817&isYear=2006 | |
| dc.subject | Keywords: Algorithms; Automation; Classification (of information); Convergence of numerical methods; Image analysis; Large scale systems; Automatic selection; Hyperspectral image classification; Individual ratio features; Kullback-Leibler divergence (KLD); Feature | |
| dc.title | Boosted band ratio feature selection for hyperspectral image classification | |
| dc.type | Conference paper | |
| local.bibliographicCitation.startpage | 4 | |
| local.contributor.affiliation | Fu, Zhouyu , College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Caelli, Terry, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Liu, Nianjun, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Robles-Kelly, Antonio, College of Engineering and Computer Science, ANU | |
| local.contributor.authoremail | u1811090@anu.edu.au | |
| local.contributor.authoruid | Fu, Zhouyu , u4176893 | |
| local.contributor.authoruid | Caelli, Terry, u971266 | |
| local.contributor.authoruid | Liu, Nianjun, u1814805 | |
| local.contributor.authoruid | Robles-Kelly, Antonio, u1811090 | |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 080104 - Computer Vision | |
| local.identifier.ariespublication | u3357961xPUB97 | |
| local.identifier.doi | 10.1109/ICPR.2006.334 | |
| local.identifier.scopusID | 2-s2.0-34047192689 | |
| local.identifier.uidSubmittedBy | u3357961 | |
| local.type.status | Published Version |
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