Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/550718
Title: | an efficient object detection and semantic segmentation of very high resolution remote sensing images based on deep neural networks |
Researcher: | Subraja N |
Guide(s): | Venkatasekhar D |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Annamalai University |
Completed Date: | 2024 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/550718 |
Appears in Departments: | Department of Electronics & Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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10.chapter 6.pdf | Attached File | 1.23 MB | Adobe PDF | View/Open |
11.chapter 7.pdf | 118.86 kB | Adobe PDF | View/Open | |
1.title.pdf | 163.68 kB | Adobe PDF | View/Open | |
2.prelim pages.pdf | 314.66 kB | Adobe PDF | View/Open | |
3.content.pdf | 130.22 kB | Adobe PDF | View/Open | |
4.abstract.pdf | 91.87 kB | Adobe PDF | View/Open | |
5.chapter 1.pdf | 216.34 kB | Adobe PDF | View/Open | |
6.chapter 2.pdf | 350.17 kB | Adobe PDF | View/Open | |
7.chapter 3.pdf | 892.9 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 118.86 kB | Adobe PDF | View/Open | |
8.chapter 4.pdf | 1.74 MB | Adobe PDF | View/Open | |
9.chapter 5.pdf | 912.65 kB | Adobe PDF | View/Open | |
annexures.pdf | 224.5 kB | Adobe PDF | View/Open |
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