Computer Science Applications

An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images

HSIToolbox: A web-based application for the classification of hyperspectral images

Recent deep-learning-based classification models for hyperspectral images (HSIs) yield near-perfect classification accuracy on benchmark data sets. However, applying them in real scenarios often requires programming skills and machine learning …

Recent Progress in Epicardial and Pericardial Adipose Tissue Segmentation and Quantification Based on Deep Learning: A Systematic Review

Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection

Band selection (BS) reduces effectively the spectral dimension of a hyperspectral image (HSI) by selecting relatively few representative bands, which allows efficient processing in subsequent tasks. Existing unsupervised BS methods based on subspace …