Few-shot domain-adaptive hyperspectral image denoising via dynamic quantile-guided learning
Abstract
This package contains the official implementation of the paper mentioned above. It implements a two-stage deep learning framework for Hyperspectral Image (HSI) analysis: 1. Pre-training Stage 2. Fine-tuning Stage We provide the complete source code and, importantly, the pre-trained and fine-tuned weights (optimized for the Simu-Pavia dataset). You can use these weights to test the model immediately without re-training.
Fields of Study & Subjects
Image and Signal Denoising Methods
Remote-Sensing Image Classification
Image Enhancement Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 20 January 2026
- Document type
- Dataset