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Selecting weights of satellite image and ancillary information in k-NN estimation: a genetic algorithm approach

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dc.contributor.authorTomppo, E.-
dc.contributor.authorHalme, M.-
dc.contributor.departmentMetsäntutkimuslaitos-
dc.date.accessioned2015-06-25T10:35:42Z
dc.date.accessioned2025-05-29T08:20:41Z
dc.date.available2015-06-25T10:35:42Z
dc.date.issued2002-
dc.format.bitstreamfalse
dc.format.pagerangep. 104-
dc.identifier.bibliographicCitationTomppo, E. & Halme, M. 2002. Selecting weights of satellite image and ancillary information in k-NN estimation: a genetic algorithm approach. In: 2002 Conference on Environmetrics organized by The International Environmetrics Society, Genova 18-22 June 2002. Collection of abstracts. p. 104.-
dc.identifier.olddbid451485
dc.identifier.oldhandle10024/509947
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/65234
dc.language.isoeng-
dc.lukeperson12597-
dc.metlaperson272-
dc.metlasuorite34381-
dc.ohjelmaMetla / Valtakunnan metsien inventointi (VM1)-
dc.publisher.countryIT-
dc.relation.ispartof2002 Conference on Environmetrics organized by The International Environmetrics Society, Genova 18-22 June 2002. Collection of abstracts-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/509947
dc.subject.keywordk-lähimmän naapurin menetelmä-
dc.subject.keywordmetsäninventointi-
dc.teh3241-
dc.titleSelecting weights of satellite image and ancillary information in k-NN estimation: a genetic algorithm approach-
dc.type.okmfi=M2 Esitelmä tai posteri|sv=M2 Presentation|en=M2 Presentation or poster|-

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