Fast Nearest Neighbor Classification Methods for Multispectral Imagery.
Nearest neighbor classifiers have not been widely used by remote sensing practitioners. The lack of acceptance of these classifiers may be partially due to their notoriously slow speed of execution which makes them impractical for the classification of mega-pixel images. However, training data reduc...
| Published in: | Professional Geographer Vol. 44; no. 2; pp. 191 - 203 |
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| Main Authors: | , |
| Format: | Article |
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Taylor & Francis Ltd
May1992
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=19108667&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 19108667 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00330124 PGG jtl: Professional Geographer issn: 00330124 maglogo: Y pubinfo: dt: May1992 vid: 44 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 19108667 10.1111/j.0033-0124.1992.00191.x ppf: 191 ppct: 12 formats: tig: atl: Fast Nearest Neighbor Classification Methods for Multispectral Imagery. aug: au: Hardin, Perry J. Thomson, Curtis N. affil: Brigham Young University University of Idaho su: Remote-sensing images Remote sensing Mathematical optimization Algorithms Space telescopes sug: subj: Remote-sensing images Remote sensing Mathematical optimization Algorithms Space telescopes keyword: distance measure optimization hierarchical structures nearest neighbor classifier ab: Nearest neighbor classifiers have not been widely used by remote sensing practitioners. The lack of acceptance of these classifiers may be partially due to their notoriously slow speed of execution which makes them impractical for the classification of mega-pixel images. However, training data reduction, distance measure optimization, and neighbor searching algorithms based on the modified k-d tree can speed nearest neighbor classification substantially. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1992 holdings: @attributes: islocal: N |
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