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dc.contributor.authorHonkavaara, Eija
dc.contributor.authorKarantzalos, Konstantinos
dc.contributor.authorLiang, Xinlian
dc.contributor.authorNocerino, Erica
dc.contributor.authorPölönen, Ilkka
dc.contributor.authorRönnholm, Petri
dc.date.accessioned2019-09-06T05:42:55Z
dc.date.available2019-09-06T05:42:55Z
dc.date.issued2019
dc.identifier.citationHonkavaara, E., Karantzalos, K., Liang, X., Nocerino, E., Pölönen, I., & Rönnholm, P. (2019). Editorial for the special issue "Frontiers in spectral imaging and 3D technologies for geospatial solutions". <i>Remote Sensing</i>, <i>11</i>(14), Article 1714. <a href="https://doi.org/10.3390/rs11141714" target="_blank">https://doi.org/10.3390/rs11141714</a>
dc.identifier.otherCONVID_32689855
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/65432
dc.description.abstractThis Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesRemote Sensing
dc.rightsCC BY 4.0
dc.subject.otherhyperspectral imaging
dc.subject.otherpoint cloud
dc.subject.othersensor integration
dc.subject.otherdata fusion
dc.subject.othermachine learning
dc.subject.otherdeep learning
dc.subject.otherclassification
dc.subject.otherestimation
dc.subject.othersemantic segmentation
dc.subject.otherobject detection
dc.subject.otherpoint cloud filtering
dc.titleEditorial for the special issue "Frontiers in spectral imaging and 3D technologies for geospatial solutions"
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201909064034
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalItem
dc.type.coarhttp://purl.org/coar/resource_type/c_0640
dc.description.reviewstatusnonPeerReviewed
dc.relation.issn2072-4292
dc.relation.numberinseries14
dc.relation.volume11
dc.type.versionpublishedVersion
dc.rights.copyright© 2019 by the authors
dc.rights.accesslevelopenAccessfi
dc.subject.yso3D-mallinnus
dc.subject.ysospektrikuvaus
dc.subject.ysosegmentointi
dc.subject.ysokoneoppiminen
dc.subject.ysokaukokartoitus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p26739
jyx.subject.urihttp://www.yso.fi/onto/yso/p26364
jyx.subject.urihttp://www.yso.fi/onto/yso/p18246
jyx.subject.urihttp://www.yso.fi/onto/yso/p21846
jyx.subject.urihttp://www.yso.fi/onto/yso/p2521
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3390/rs11141714
dc.type.okmB1


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