Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/214971
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Computer Science | |
dc.date.accessioned | 2018-09-12T10:30:02Z | - |
dc.date.available | 2018-09-12T10:30:02Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/214971 | - |
dc.description.abstract | Abstract available | |
dc.format.extent | xxii, 229p. | |
dc.language | English | |
dc.relation | Reference available at chapters | |
dc.rights | university | |
dc.title | Classification accuracy of multisensor imagery based on pixel and feature levels fusion | |
dc.title.alternative | ||
dc.creator.researcher | AlWassai, Firouz Abdullah Abdullah | |
dc.subject.keyword | Correlation | |
dc.subject.keyword | Fusion | |
dc.subject.keyword | MSIF | |
dc.subject.keyword | PCA | |
dc.subject.keyword | RS | |
dc.description.note | Data not available | |
dc.contributor.guide | Kalyankar, N V | |
dc.publisher.place | Nanded | |
dc.publisher.university | Swami Ramanand Teerth Marathwada University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | n.d. | |
dc.date.completed | 2014 | |
dc.date.awarded | n.d. | |
dc.format.dimensions | 31cm. | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
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