LOCAL BINARY GRAPH FEATURE REDUCTION FOR THREE-DIMENSIONAL GABOR FILTER BASED HYPERSPECTRAL IMAGE CLASSIFICATION

5 citations as recorded by crossref.

1. EnSSNet: An advanced ensemble self-supervised learning framework with mini batch-graph convolutional network and deep curriculum learning for robust PolSAR image classification M. Darvishnezhad & M. Sebt
2. Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images S. Naeem et al.
3. Local Binary Patterns and Superpixel-Based Multiple Kernels for Hyperspectral Image Classification W. Huang et al.
4. Feature fusion method based on local binary graph for PolSAR image classification M. Sebt & M. Darvishnezhad
5. A multi-view ensemble model based on semi-supervised feature learning for small sample classification of PolSAR images M. Darvishnezhad