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Article: MSCDUNet: A Deep Learning Framework for Built-Up Area Change Detection Integrating Multispectral, SAR, and VHR Data

TitleMSCDUNet: A Deep Learning Framework for Built-Up Area Change Detection Integrating Multispectral, SAR, and VHR Data
Authors
Li, HZhu, FZheng, XLiu, MChen, G
Issue Date2022
Citation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, v. 15, p. 5163-5176 How to Cite?
DOI: http://dx.doi.org/10.1109/JSTARS.2022.3181155
Persistent Identifierhttp://hdl.handle.net/10722/319560
ISI Accession Number ID
WOS:000821506100001

 

DC FieldValueLanguage
dc.contributor.authorLi, H-
dc.contributor.authorZhu, F-
dc.contributor.authorZheng, X-
dc.contributor.authorLiu, M-
dc.contributor.authorChen, G-
dc.date.accessioned2022-10-14T05:15:33Z-
dc.date.available2022-10-14T05:15:33Z-
dc.date.issued2022-
dc.identifier.citationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, v. 15, p. 5163-5176-
dc.identifier.urihttp://hdl.handle.net/10722/319560-
dc.languageeng-
dc.relation.ispartofIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing-
dc.titleMSCDUNet: A Deep Learning Framework for Built-Up Area Change Detection Integrating Multispectral, SAR, and VHR Data-
dc.typeArticle-
dc.identifier.emailChen, G: chengzh7@hku.hk-
dc.identifier.doi10.1109/JSTARS.2022.3181155-
dc.identifier.hkuros338483-
dc.identifier.volume15-
dc.identifier.spage5163-
dc.identifier.epage5176-
dc.identifier.isiWOS:000821506100001-

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