| HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding | Nov 25, 2023 | ClassificationHyperspectral image analysis | CodeCode Available | 0 | 5 |
| Measuring complex refractive index through deeplearning-enabled optical reflectometry | Mar 31, 2023 | Hyperspectral image analysis | CodeCode Available | 0 | 5 |
| A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation | Mar 28, 2022 | DenoisingDimensionality Reduction | CodeCode Available | 0 | 5 |
| Kernel Nonnegative Matrix Factorization Without the Curse of the Pre-image - Application to Unmixing Hyperspectral Images | Jul 16, 2014 | blind source separationHyperspectral image analysis | —Unverified | 0 | 0 |
| Machine learning based hyperspectral image analysis: A survey | Feb 23, 2018 | BIG-bench Machine LearningClustering | —Unverified | 0 | 0 |
| Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis | Feb 7, 2019 | ClassificationClustering | —Unverified | 0 | 0 |
| Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI | Mar 12, 2024 | Hyperspectral image analysisHYPERVIEW Challenge | —Unverified | 0 | 0 |
| Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction | May 19, 2017 | ClusteringDenoising | —Unverified | 0 | 0 |
| Spectral Unmixing Comparison with Sparse, Iterative and Mixed Integer Programming Models | Mar 21, 2025 | Hyperspectral image analysisHyperspectral Unmixing | —Unverified | 0 | 0 |
| Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing | Feb 11, 2021 | Hyperspectral image analysisSuperpixels | —Unverified | 0 | 0 |
