1. Shodhganga@INFLIBNET
  2. Jawaharlal Nehru Technological University, Kakinada
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/446992
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-16T05:43:50Z-
dc.date.available2023-01-16T05:43:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/446992-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleUnsupervised Band Selection Approaches for the Classification of Remotely Sensed Hyperspectral Imagery
dc.title.alternative
dc.creator.researcherK. Kishore Raju
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideG. P. Saradhi Varma and D. Rajya Lakshmi
dc.publisher.placeKakinada
dc.publisher.universityJawaharlal Nehru Technological University, Kakinada
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2013
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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