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  1. HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON MANIFOLD DATA ANALYSIS AND SPARSE SUBSPACE PROJECTION
  2. HYPERSPECTRAL IMAGE BAND SELECTION BASED ON SUBSPACE CLUSTERING
  3. HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON INTELLIGENT OPTIMIZATION FEATURE SELECTION
  4. Band Selection by Divergence Distance Based on Gaussian Mixture Model for Hyperspectral Image Classification
  5. An Evaluation of Projection Based Multiplicative Data Perturbation for KNN Classification
  6. A Bilateral Filter Based Post-Processing Approach for Supervised Spectral-Spatial Hyperspectral Image Classification
  7. Supervised, Unsupervised, and Semisupervised Classification Methods for Hyperspectral Image Classification-A Review
  8. Role of Zernike Moments in Hyperspectral Image Classification
  9. Automatic Clustering Subspace for High Dimensional Categorical Data Using Neuro-Fuzzy Classification
  10. Image Classification Using Group Sparse Multiview Patch Alignment Framework Method