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基于改进 ShuffleNetV2 网络的遥感场景分类模型.
- Source :
- Chinese Journal of Liquid Crystal & Displays; Nov2024, Vol. 23 Issue 11, p1557-1568, 12p
- Publication Year :
- 2024
-
Abstract
- <i>Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- REMOTE sensing
KNOWLEDGE transfer
ALTITUDES
DEEP learning
CLASSIFICATION
Subjects
Details
- Language :
- Chinese
- ISSN :
- 10072780
- Volume :
- 23
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Chinese Journal of Liquid Crystal & Displays
- Publication Type :
- Academic Journal
- Accession number :
- 181076705
- Full Text :
- https://doi.org/10.37188/CJLCD.2024-0148