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| Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis | Jul 28, 2020 | BIG-bench Machine LearningClustering | CodeCode Available | 0 |
| Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios | Jul 16, 2020 | Active LearningHyperspectral image analysis | —Unverified | 0 |
| Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders | Jul 20, 2019 | ClusteringHyperspectral image analysis | CodeCode Available | 0 |
| Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images | Jun 23, 2019 | Dimensionality ReductionEarth Observation | —Unverified | 0 |
| Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing | Feb 14, 2019 | DecoderHyperspectral image analysis | —Unverified | 0 |
| Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis | Feb 7, 2019 | ClassificationClustering | —Unverified | 0 |
| Comparison of VCA and GAEE algorithms for Endmember Extraction | May 27, 2018 | General ClassificationHyperspectral image analysis | CodeCode Available | 0 |
| Machine learning based hyperspectral image analysis: A survey | Feb 23, 2018 | BIG-bench Machine LearningClustering | —Unverified | 0 |
