Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection
نویسندگان
چکیده
منابع مشابه
Semi-supervised feature learning for hyperspectral image classification
Hyperspectral image has high-dimensional Spectral–spatial features, those features with some noisy and redundant information. Since redundant features can have significant adverse effect on learning performance. So efficient and robust feature selection methods are make the best of labeled and unlabeled points to extract meaningful features and eliminate noisy ones. On the other hand, obtaining...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2018
ISSN: 2072-4292
DOI: 10.3390/rs10040574