A Theory-Guided Transformer for Interpretable Hyperspectral Unmixing
Hyperspectral unmixing (HU) is fundamental for conducting quantitative analyses in remote sensing, yet existing methods face a persistent tradeoff between model performance and physical interpretability.
Hongyue Cao +4 more
doaj +1 more source
Superpixel-Guided Matrix-Valued Kernel Functions for Multiscale Nonlinear Hyperspectral Unmixing
Hyperspectral unmixing is a critical challenge in the analysis of hyperspectral remote sensing data. Due to the complex interactions between incident light and materials, which are significantly influenced by the three-dimensional geometry of the scene ...
Xiu Zhao, Meiping Song
doaj +1 more source
Sparse methods for hyperspectral unmixing and image fusion. [PDF]
In recent years, the substantial increase in the number of spectral channels in optical remote sensing sensors allows more detailed spectroscopic analysis of objects on the Earth surface. Modern hyperspectral sensors are able to sample the sunlight reflected from a target on the ground with hundreds of adjacent narrow spectral channels.
openaire +3 more sources
Spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors. [PDF]
Black D +4 more
europepmc +1 more source
Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications. [PDF]
Wang L +7 more
europepmc +1 more source
Papanicolaou stain unmixing for RGB image using weighted nucleus sparsity and total variation regularization. [PDF]
Gong N +5 more
europepmc +1 more source
Multispectral Laser-Scanning Photoacoustic Microscopy With SRS-Generated Wavelengths for Skin Chromophore Characterization. [PDF]
Khansari A +6 more
europepmc +1 more source
A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales. [PDF]
Gros A +7 more
europepmc +1 more source
Assessing Changes in Grassland Species Distribution at the Landscape Scale Using Hyperspectral Remote Sensing. [PDF]
Ohiaeri O, Portillo-Quintero C, Laza H.
europepmc +1 more source
A Hybrid Diffusion Model Enhances Multiparametric 3D Photoacoustic Computed Tomography. [PDF]
Jeong H +5 more
europepmc +1 more source

