Skip to main content
Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Mr Faxian Cao

Back to Search
Cao F, Yang Z, Hong X, Cheng Y, Huang Y, Lv J ( 2021 ) . Supervised Dimensionality Reduction of Hyperspectral Imagery Via Local and Global Sparse Representation . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol. 14 , 3860 - 3874 .
Liu M, Cao F, Yang Z, Hong X, Huang Y ( 2020 ) . Hyperspectral image denoising and classification using multi-scale weighted emaps and extreme learning machine . Electronics (Switzerland) vol. 9 , ( 12 ) 1 - 17 .
Yang Z, Cao F, Cheng Y, Ling WK, Hu R ( 2020 ) . Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images . IEEE Transactions on Geoscience and Remote Sensing vol. 58 , ( 12 ) 8567 - 8582 .
Cao F, Yang Z, Ren J, Chen W, Han G, Shen Y ( 2019 ) . Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images . IEEE Transactions on Geoscience and Remote Sensing vol. 57 , ( 8 ) 5580 - 5594 .
Cao F, Yang Z, Ren J, Ling WK, Zhao H, Sun M, Benediktsson JA ( 2018 ) . Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images . IEEE Transactions on Geoscience and Remote Sensing vol. 56 , ( 11 ) 6263 - 6279 .
Cao F, Yang Z, Ren J, Ling W-K, Zhao H, Marshall S ( 2017 ) . Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification . Remote Sensing vol. 9 , ( 12 )
Cao F, Yang Z, Ren J, Jiang M, Ling WK ( 2017 ) . Linear vs. Nonlinear extreme learning machine for Spectral-Spatial classification of hyperspectral images . Sensors (Switzerland) vol. 17 , ( 11 )
Back to Search