Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/446992
| Title: | Unsupervised Band Selection Approaches for the Classification of Remotely Sensed Hyperspectral Imagery |
| Researcher: | K. Kishore Raju |
| Guide(s): | G. P. Saradhi Varma and D. Rajya Lakshmi |
| Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
| University: | Jawaharlal Nehru Technological University, Kakinada |
| Completed Date: | 2021 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/446992 |
| Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01.pdf | Attached File | 65.87 kB | Adobe PDF | View/Open |
| 02.pdf | 55.98 kB | Adobe PDF | View/Open | |
| 03.pdf | 14.23 kB | Adobe PDF | View/Open | |
| 04.pdf | 9.77 kB | Adobe PDF | View/Open | |
| 05.pdf | 5.18 MB | Adobe PDF | View/Open | |
| 10.pdf | 219.56 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 154.23 kB | Adobe PDF | View/Open |
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