Spectral Unmixing to Reduce Refraction Effects in Feulgen-Stained Slides. [PDF]
Sensors (Basel)Noureddine K +6 more
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Assessing Changes in Grassland Species Distribution at the Landscape Scale Using Hyperspectral Remote Sensing. [PDF]
Sensors (Basel)Ohiaeri O, Portillo-Quintero C, Laza H.
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Estimating Endmember Backscattering Coefficients Within the Mixed Pixels Based on the Microwave Backscattering Contribution Decomposition Model. [PDF]
Sensors (Basel)Song Y +6 more
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Hyperspectral image and chemometrics. A step beyond classical spectroscopic PAT tools. [PDF]
Anal Bioanal Chemde Juan A, de Oliveira RR.
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The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]
Sensors (Basel)Hu L +6 more
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hyperPICASSO: adapting the mutual-information-based unmixing technique PICASSO to hyperspectral datasets. [PDF]
Opt LettHuang CZ, Ching-Roa VD, Giacomelli MG.
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Nonlinear unmixing of Hyperspectral images
, 2013 Spectral unmixing is one the major issues arising when analyzing hyperspectral images. It consists of identifying the macroscopic materials present in a hyperspectral image and quantifying the proportions of these materials in the image pixels. Most unmixing techniques rely on a linear mixing model which is often considered as a first approximation of ...
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High-throughput hyperspectral fluorescence imaging using a high-speed silicon photomultiplier array. [PDF]
Biomed Opt ExpressHuang CZ +4 more
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Short-Wavelength Infrared Hyperspectral Imaging and Spectral Unmixing Techniques for Detection and Distribution of Pesticide Residues on Edible Perilla Leaves. [PDF]
FoodsSemyalo D +7 more
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Technological innovations and high-throughput applications of light-sheet microscopy. [PDF]
Biophys RepWang J, Liu YC, Fei P.
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