Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification

5 Sep 2018 Yan Ju Lingling Li Licheng Jiao Zhongle Ren Biao Hou Shuyuan Yang

Due to the limited amount and imbalanced classes of labeled training data, the conventional supervised learning can not ensure the discrimination of the learned feature for hyperspectral image (HSI) classification. In this paper, we propose a modified diversity of class probability estimation (MDCPE) with two deep neural networks to learn spectral-spatial feature for HSI classification... (read more)

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