A Coarse-to-Fine Semi-supervised Learning Method Based on Superpixel Graph and Breaking-tie Sampling for Hyperspectral Image Classification
At present, hyperspectral image classification (HSIC) technology based on deep learning has been widely explored. However, the time and labor cost of obtaining enough labeled samples are expensive. To obtain higher classification performance with a few number of labeled samples, a coarse-to-fine sem...
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Veröffentlicht in: | IEEE geoscience and remote sensing letters 2023-07, p.1-1 |
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