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- W3131722669 abstract "Convolutional neural networks (CNN) can automatically learn features from the hyperspectral image data, which could avoid the difficulty of manually extracting features. However, the number of training set for the classification of hyperspectral images is always limited, making it difficult for CNN to obtain effective features and resulting in low classification accuracy. In this paper, a spectral-spatial feature (SSF) extraction based CNN method is proposed for an accurate classification with a small training set. Experimental results based on two standard hyperspectral images demonstrate the effectiveness of the proposed method." @default.
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- W3131722669 date "2020-09-26" @default.
- W3131722669 modified "2023-10-13" @default.
- W3131722669 title "Spectral-Spatial Feature Extraction based CNN for Hyperspectral Image Classification" @default.
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- W3131722669 doi "https://doi.org/10.1109/igarss39084.2020.9323629" @default.
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