Abstract | ||
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With the advent of a large number of remote sensing images (RSIs), scene classification of RSI is widely applied to many fields such as urban planning, natural disaster detection, and environmental monitoring. Compared with the natural image field, the lack of labeled RSI is a bottleneck of supervised scene classification methods based on deep learning. Meanwhile, unsupervised scene classification... |
Year | DOI | Venue |
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2021 | 10.1109/LGRS.2020.3014108 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Feature extraction,Logic gates,Gallium nitride,Remote sensing,Semantics,Standards,Data mining | Journal | 18 |
Issue | ISSN | Citations |
12 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dongen Guo | 1 | 0 | 0.34 |
Ying Xia | 2 | 12 | 5.28 |
Xiaobo Luo | 3 | 1 | 3.06 |