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
An Abundance-Guided Mamba Network for Hyperspectral Unmixing. [PDF]
Tang Z, Wang X, Li B.
europepmc +1 more source
Sparse Superpixel Unmixing for Exploratory Analysis of CRISM Hyperspectral Images
Fast automated analysis of hyperspectral imagery can inform observation planning and tactical decisions during planetary exploration. Products such as mineralogical maps can focus analysts' attention on areas of interest and assist data mining in large ...
Castano, Rebecca +2 more
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Phasor-Based Spatio-Spectral Segmentation for Hyperspectral Fluorescence Microscopy. [PDF]
Barna M +4 more
europepmc +1 more source
Edge-Aware Short-Chain Diffusion Enables High-Fidelity Sparse-Sampling Optoacoustic Tomography. [PDF]
Fan Y +5 more
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AI-Driven Hyperspectral Imaging in Clinical Medicine: A Critical Appraisal of Translational Readiness. [PDF]
Meeran ABM +5 more
europepmc +1 more source
VE-MLM: A variable endmember-based multilinear mixing framework for crop FAPAR estimation using UAV multispectral imagery. [PDF]
Yuan N +9 more
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Photoacoustic Imaging for Liver Disease: The Systems and the Molecules. [PDF]
Jiang B, Lin Z, Yang X.
europepmc +1 more source
Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications. [PDF]
Wang L +7 more
europepmc +1 more source

