Remote Sensing
少样本遥感分割
Few-shot remote sensing segmentationA machine learning approach that enables the segmentation of remote sensing imagery with limited labeled training data. / 一种机器学习方法，能够在标注训练数据有限的情况下对遥感影像进行分割。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-03 20:06:32
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Main parameters and performance indicators
Semantic Identity: The semantic meaning of the object to be segmentedStructural Boundaries: The spatial edges defining the objectDecoupling: Separating the semantic identity from structural boundaries
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Related literature
ranked by community starsDecoupling semantic identity and structural boundaries for few-shot remote sensing segmentationOpen source
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1 recordsRecord title: Few-shot remote sensing segmentation.
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