Deep Multi-Sensor Domain Adaptation on Active and Passive Satellite Remote Sensing Data

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dc.contributor.authorPurushotham, Sanjay
dc.contributor.authorHuang, Xin
dc.contributor.authorAli, Sahara
dc.contributor.authorWang, Chenxi
dc.contributor.authorNing, Zeyu
dc.contributor.authorWang, Jianwu
dc.contributor.authorWang, Chenxi
dc.contributor.authorZhang, Zhibo
dc.date.accessioned2021-05-13T16:39:24Z
dc.date.available2021-05-13T16:39:24Z
dc.description2nd NOAA Workshop on Leveraging AI in Environmental Sciences AI/ML for Data Fusion/Assimilationen_US
dc.description.sponsorshipThis work is supported by grants OAC–1730250, OAC–1942714, IIS– 1948399 from the National Science Foundation (NSF) and grant 80NSSC21M0027 from the National Aeronautics and Space Administration (NASA)en_US
dc.description.urihttps://pdfs.semanticscholar.org/43f6/c1087a0da6b8eae29eded27144b86e04c68f.pdfen_US
dc.format.extent28 pagesen_US
dc.genreconference papers and proccedingsen_US
dc.genrepresentations (communicative events)
dc.identifierdoi:10.13016/m27lwj-fokp
dc.identifier.citationSanjay Purushotham, Deep Multi-Sensor Domain Adaptation on Active and Passive Satellite Remote Sensing Data, 2nd NOAA Workshop on Leveraging AI in Environmental Sciences AI/ML for Data Fusion/Assimilation, https://pdfs.semanticscholar.org/43f6/c1087a0da6b8eae29eded27144b86e04c68f.pdfen_US
dc.identifier.urihttp://hdl.handle.net/11603/21524
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleDeep Multi-Sensor Domain Adaptation on Active and Passive Satellite Remote Sensing Dataen_US
dc.typeTexten_US

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