Low-rank and sparse representation for hyperspectral image processing: A review
Combining rich spectral and spatial information, a hyperspectral image (HSI) can provide a
more comprehensive characterization of the Earth's surface. To better exploit HSIs, a large …
more comprehensive characterization of the Earth's surface. To better exploit HSIs, a large …
Structured Abundance Matrix Estimation for Land Cover Hyperspectral Image Unmixing
PV Giampouras, KE Themelis… - … Sensing of Earth …, 2017 - taylorfrancis.com
Spectral unmixing (SU) of hyperspectral images (HSIs) has been in the spotlight of both
research and applications during the recent years. Abundance estimation algorithms hinge …
research and applications during the recent years. Abundance estimation algorithms hinge …
[PDF][PDF] Nonconvex Optimization Algorithms for Structured Matrix Estimation in Large-Scale Data Applications
PV Giampouras - 2018 - pergamos.lib.uoa.gr
Structured matrix estimation belongs to the family of learning tasks whose main goal is to
reveal low-dimensional embeddings of high-dimensional data. Nowadays, this task appears …
reveal low-dimensional embeddings of high-dimensional data. Nowadays, this task appears …