MATNet: multiattention Transformer network for cropland semantic segmentation in remote sensing images
Remote sensing image semantic segmentation methods have become the main approach for extracting cropland information. However, in the mountainous regions of southwestern China, croplands exhibit narrow and fragmented shapes, as well as complex planting patterns, making it difficult for traditional s...
| 出版年: | International Journal of Digital Earth |
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| 主要な著者: | , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Taylor & Francis Group
2024-12-01
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| 主題: | |
| オンライン･アクセス: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2392845 |