Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66676
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorChen, ZW-
dc.creatorZhang, L-
dc.creatorZhang, G-
dc.date.accessioned2017-05-22T02:26:34Z-
dc.date.available2017-05-22T02:26:34Z-
dc.identifier.urihttp://hdl.handle.net/10397/66676-
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 Chen, Z.; Zhang, L.; Zhang, G. An Improved InSAR Image Co-Registration Method for Pairs with Relatively Big Distortions or Large Incoherent Areas. Sensors 2016, 16, 1519,1-14 is available at https://dx.doi.org/10.3390/s16091519en_US
dc.subjectInSARen_US
dc.subjectCo-registrationen_US
dc.subjectNon-translation relationen_US
dc.subjectRegistration pointen_US
dc.titleAn improved InSAR image co-registration method for pairs with relatively big distortions or large incoherent areasen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage14en_US
dc.identifier.volume16en_US
dc.identifier.issue9en_US
dc.identifier.doi10.3390/s16091519en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors, Sep. 2016, v. 16, no. 9, p. 1-14-
dcterms.isPartOfSensors-
dcterms.issued2016-
dc.identifier.isiWOS:000385527700175-
dc.identifier.ros2016003947-
dc.identifier.eissn1424-8220en_US
dc.identifier.rosgroupid2016003876-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201804_a bcmaen_US
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 
Chen_InSAR_Image_Co-registration.pdf6 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

137
Last Week
1
Last month
Citations as of Apr 21, 2024

Downloads

72
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

15
Last Week
0
Last month
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

11
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.