LAUSR

SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification

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0 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2925283

Abstract: In recent years, various deep learning-based methods have been applied in hyperspectral image (HSI) classification. Among them, spectral-spatial approaches have demonstrated their power to yield high accuracies. However, these methods tend to be computationally expensive.… read more here.

Keywords: ssdc densenet; dual channel; spectral spatial; cost ... See more keywords