Ultra-High-Definition Aerial Photo Categorization by an Enhanced Matrix Factorization Algorithm
In this work, we designed an effective ultra-high-definition (UHD) aerial photo categorization pipeline by designing an enhanced deep multi-clue matrix factorization (DMCMF). In detail, given a UHD aerial photo, those visually salient ground objects are extracted in the first place. In order to expl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10364763/ |
