Deep Structural Learning for Fusion in Remote Sensing Applications.

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dc.contributor.advisorHamid Krim, Chair
dc.contributor.advisorMin Chi, Member
dc.contributor.advisorEdgar Lobaton, Member
dc.contributor.advisorTianfu Wu, Member
dc.contributor.advisorWesam Sakla, External
dc.contributor.authorTran, Kenneth Viet Lam
dc.date.accepted2022-07-12
dc.date.accessioned2022-07-13T12:30:30Z
dc.date.available2022-07-13T12:30:30Z
dc.date.defense2022-06-10
dc.date.issued2022-06-10
dc.date.released2022-07-13
dc.date.reviewed2022-06-20
dc.date.submitted2022-06-15
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatPh.D. North Carolina State University, 2022.
dc.identifier.otherdeg29976
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39793
dc.titleDeep Structural Learning for Fusion in Remote Sensing Applications.
dcterms.extent1 online resource (ix, 74 pages) : illustrations

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