Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66427
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorLv, ZY-
dc.creatorShi, WZ-
dc.creatorBenediktsson, JA-
dc.creatorNing, XJ-
dc.date.accessioned2017-05-22T02:26:07Z-
dc.date.available2017-05-22T02:26:07Z-
dc.identifier.urihttp://hdl.handle.net/10397/66427-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Lv, Z. Y., Shi, W. Z., Benediktsson, J. A., & Ning, X. J. (2016). Novel object-based filter for improving land-cover classification of aerial imagery with very high spatial resolution. Remote Sensing, 8(12), (Suppl. ), - is available athttps://dx.doi.org/10.3390/rs8121023en_US
dc.subjectImage filteren_US
dc.subjectVery high spatial resolution (VHSR) aerial imageen_US
dc.subjectMulti-scale segmentationen_US
dc.subjectLand cover classificationen_US
dc.titleNovel object-based filter for improving land-cover classification of aerial imagery with very high spatial resolutionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume8-
dc.identifier.issue12-
dc.identifier.doi10.3390/rs8121023-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, Dec. 2016, v. 8, no. 12, p. 1-14-
dcterms.isPartOfRemote sensing-
dcterms.issued2016-
dc.identifier.isiWOS:000392489400052-
dc.identifier.eissn2072-4292-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Lv_Object-based_Filter_Land-cover.pdf17.82 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

121
Last Week
1
Last month
Citations as of Apr 21, 2024

Downloads

57
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

14
Last Week
0
Last month
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

13
Last Week
0
Last month
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.