hyperPICASSO: adapting the mutual-information-based unmixing technique PICASSO to hyperspectral datasets. [PDF]
Huang CZ, Ching-Roa VD, Giacomelli MG.
europepmc +1 more source
High-throughput hyperspectral fluorescence imaging using a high-speed silicon photomultiplier array. [PDF]
Huang CZ +4 more
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Nonlinear unmixing of Hyperspectral images
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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Short-Wavelength Infrared Hyperspectral Imaging and Spectral Unmixing Techniques for Detection and Distribution of Pesticide Residues on Edible Perilla Leaves. [PDF]
Semyalo D +7 more
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Versatile and comprehensive hyperspectral imaging tool for molecular neuronavigation: a case study on cerebral gliomas. [PDF]
Nardini D +12 more
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Unmixing Hyperspectral SRS Images in the Cell-Silent Region of the Raman Spectrum Using Phasor Analysis. [PDF]
Tipping WJ +3 more
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Spectral unmixing based on a minimum volume simplicial enclosure model [PDF]
García, I. +3 more
core +1 more source
Detection of asbestos-based cement rooftops in conflict-affected settings using EnMAP hyperspectral data: a research article. [PDF]
Shepherd JE +3 more
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UNMIXING ALGORITHM OF HYPERSPECTRAL IMAGES
Xiao-Fei WANG, Jun-Ping ZHANG, Ye ZHANG
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Assessing Species Fractional Cover and α-Diversity in Boreal Peatlands Across Trophic Levels Using Hyperspectral Data. [PDF]
Salko SS +5 more
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