← Search

Minchao Ye

2 accepted papers

2022

Multitask Sparse Neural Network for Hyperspectral Image Denoising

ICASSP 2022accepted

Data-driven deep learning (DL)-based methods directly learn the nonlinear mapping between noisy hyperspectral images (HSIs) and corresponding clean ones. However, DLbased methods neglect the prior knowledge of HSIs embodied by physical models. Consequently, they require complex network architectures…

Cited by 0SourceScholar
2021

NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing

ICASSP 2021accepted

Hyperspectral unmixing is an important tool to learn the material constitution and distribution of a scene. Model-based unmixing methods depend on well-designed iterative optimization algorithms, which is usually time consuming. Learning-based methods perform unmixing in a data-driven manner but hea…

Cited by 0SourceScholar