Spectral-Spatial Unified Networks for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, pp. 5893-5909, 2018.

Cited by: 54|Bibtex|Views7|DOI:https://doi.org/10.1109/TGRS.2018.2827407
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

In this paper, we propose a spectral-spatial unified network (SSUN) with an end-to-end architecture for the hyperspectral image (HSI) classification. Different from traditional spectral-spatial classification frameworks where the spectral feature extraction (FE), spatial FE, and classifier training are separated, these processes are integ...More

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