Hyperspectral Image Classification via Sparse Code Histogram
Explore this paper's citation graph
- Type
- article
- Published
- 2015-05-21
- Cited by
- 18
- References
- 16
- OpenAlex
- https://openalex.org/W1507423109
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9743837
Keywords
Hyperspectral imaging, Histogram, Computer science, Artificial intelligence, Pattern recognition (psychology)
References
- Sparsity and Robustness in Face Recognition
- Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification
- Beyond sparsity: The role of L1-optimizer in pattern classification
- Classification of Hyperspectral Image Based on Sparse Representation in Tangent Space
- On the mean accuracy of statistical pattern recognizers
- Self-taught learning: transfer learning from unlabeled data
- Robust Face Recognition via Sparse Representation
- SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images
- Sparse representation or collaborative representation: Which helps face recognition?
- Low-Rank Sparse Coding for Image Classification
- Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
- Composite kernels for hyperspectral image classification
- A Fast and Robust Sparse Approach for Hyperspectral Data Classification Using a Few Labeled Samples
- Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel
- Hyperspectral Image Classification Using Dictionary-Based Sparse Representation
- This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Hyperspectral Image Classification Using Dictionary-Based
- Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
Cited by
- One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation
- Hierarchical Discriminative Feature Learning for Hyperspectral Image Classification
- A novel generalized assignment framework for the classification of hyperspectral image
- Hyperspectral Images Classification with Typical Sequences associated to the Endmember
- Spectral-spatial hyperspectral image classification using super-pixel-based spatial pyramid representation
- Visual feature coding based on heterogeneous structure fusion for image classification
- Active learning for hyperspectral image classification using sparse code histogram and graph-based spatial refinement
- Superpixel Guided Deep-Sparse-Representation Learning for Hyperspectral Image Classification
- Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines
- An Effective Classification Scheme for Hyperspectral Image Based on Superpixel and Discontinuity Preserving Relaxation
- Spatial Filtering in DCT Domain-Based Frameworks for Hyperspectral Imagery Classification
- Spectral DWT Multilevel Decomposition with Spatial Filtering Enhancement Preprocessing-Based Approaches for Hyperspectral Imagery Classification
- Reweighted Dual Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis
- Curvelet Adversarial Augmented Neural Network for SAR Image Classification
- Lung sound signal classification by using Cosine Similarity-based Multilevel Discrete Wavelet Transform Decomposition with CNN-LSTM Hybrid model
- A Spatial-Spectral Transformer for Hyperspectral Image Classification Based on Global Dependencies of Multi-Scale Features
- Hyperspectral Image Classification
- Sum-Pooling Over Spatial Region Sparse Representation ... Learned D 1 ... Feature Extraction Dictionary learning via KVSD Encoding via OMP
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