no code implementations • 9 Jun 2019 • Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao
Exploiting rich spatial and spectral features contributes to improve the classification accuracy of hyperspectral images (HSIs).
no code implementations • 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.