A deep learning approach to satellite image time series coregistration through alignment of road networks

Andres F. Pérez, Pooneh Maghoul and Ahmed Ashraf

Article (2023)

An external link is available for this item

Department:	Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/57227/
Journal Title:	Neural Computing and Applications
Publisher:	Springer
DOI:	10.1007/s00521-023-09242-0
Official URL:	https://doi.org/10.1007/s00521-023-09242-0
Date Deposited:	29 Jan 2024 14:38
Last Modified:	25 Sep 2024 16:49

Cite in APA 7:	Pérez, A. F., Maghoul, P., & Ashraf, A. (2023). A deep learning approach to satellite image time series coregistration through alignment of road networks. Neural Computing and Applications, 11 pages. https://doi.org/10.1007/s00521-023-09242-0
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only