Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/416738
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-11-03T05:43:45Z | - |
dc.date.available | 2022-11-03T05:43:45Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/416738 | - |
dc.description.abstract | newline | |
dc.format.extent | XIII | |
dc.language | English | |
dc.relation | No of References 158 | |
dc.rights | university | |
dc.title | Spatial spectral fused feature extraction and pixel classification in hyperspectral images using deep learning | |
dc.title.alternative | No | |
dc.creator.researcher | Murali Kanthi | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | T Hitendra Sarma and C Shoba Bindu | |
dc.publisher.place | Anantapuram | |
dc.publisher.university | Jawaharlal Nehru Technological University, Anantapuram | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2016 | |
dc.date.completed | 2020 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 28.32 kB | Adobe PDF | View/Open |
02_declaration & certificate.pdf | 8.37 kB | Adobe PDF | View/Open | |
04_contents.pdf | 12.85 kB | Adobe PDF | View/Open | |
06_abstract.pdf | 22.27 kB | Adobe PDF | View/Open | |
08_chapter 1.pdf | 743.04 kB | Adobe PDF | View/Open | |
09_chapter 2.pdf | 664.33 kB | Adobe PDF | View/Open | |
10_chapter 3.pdf | 470.73 kB | Adobe PDF | View/Open | |
11_chapter 4.pdf | 598.1 kB | Adobe PDF | View/Open | |
12_chapter 5.pdf | 708.02 kB | Adobe PDF | View/Open | |
15_references.pdf | 66.51 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 85.01 kB | Adobe PDF | View/Open |
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