dc.contributor.author | Honkavaara, Eija | |
dc.contributor.author | Karantzalos, Konstantinos | |
dc.contributor.author | Liang, Xinlian | |
dc.contributor.author | Nocerino, Erica | |
dc.contributor.author | Pölönen, Ilkka | |
dc.contributor.author | Rönnholm, Petri | |
dc.date.accessioned | 2019-09-06T05:42:55Z | |
dc.date.available | 2019-09-06T05:42:55Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Honkavaara, 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.other | CONVID_32689855 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/65432 | |
dc.description.abstract | This 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.mimetype | application/pdf | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | MDPI | |
dc.relation.ispartofseries | Remote Sensing | |
dc.rights | CC BY 4.0 | |
dc.subject.other | hyperspectral imaging | |
dc.subject.other | point cloud | |
dc.subject.other | sensor integration | |
dc.subject.other | data fusion | |
dc.subject.other | machine learning | |
dc.subject.other | deep learning | |
dc.subject.other | classification | |
dc.subject.other | estimation | |
dc.subject.other | semantic segmentation | |
dc.subject.other | object detection | |
dc.subject.other | point cloud filtering | |
dc.title | Editorial for the special issue "Frontiers in spectral imaging and 3D technologies for geospatial solutions" | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-201909064034 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/JournalItem | |
dc.type.coar | http://purl.org/coar/resource_type/c_0640 | |
dc.description.reviewstatus | nonPeerReviewed | |
dc.relation.issn | 2072-4292 | |
dc.relation.numberinseries | 14 | |
dc.relation.volume | 11 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © 2019 by the authors | |
dc.rights.accesslevel | openAccess | fi |
dc.subject.yso | 3D-mallinnus | |
dc.subject.yso | spektrikuvaus | |
dc.subject.yso | segmentointi | |
dc.subject.yso | koneoppiminen | |
dc.subject.yso | kaukokartoitus | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p26739 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p26364 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p18246 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p21846 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p2521 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.3390/rs11141714 | |
dc.type.okm | B1 | |