Results 131 to 140 of about 930,547 (198)

A performance acceleration algorithm of spectral unmixing via subset selection

open access: yes, 2017
An acceleration algorithm for spectral unmixing approach is proposed based on subset selection. The method classifies the pixels in a spectral image into accurate and approximated unmixing groups based on the similarity and dissimilarity of ...
Guo, Yi (R18457)   +3 more
core  

Spectral unmixing of hyperspectral imagery using multilayer NMF

open access: yes, 2015
Hyperspectral images contain mixed pixels due to low spatial resolution of hyperspectral sensors. Spectral unmixing problem refers to decomposing mixed pixels into a set of endmembers and abundance fractions.
Hassan Ghassemian, Roozbeh Rajabi
core   +1 more source

Development and testing of improved spectral unmixing techniques [PDF]

open access: yes, 1999
The tradeoff between spatial and spectral resolution gives rise to a finite ground sample size, which produces data with spectrally mixed pixels in a multispectral and hyperspectral systems.
Konno, Daisei
core  

Mineral mapping and landsat thematic mapper image classification using spectral unmixing

open access: yes, 1997
In this paper, spectral image unmixing applied to Landsat Thematic mapper data from southern Spain is described to obtain a classified image based on abundance estimates of a number of spectral endmembers assuming linear mixing systematics.
van der Meer, F.D.
core   +1 more source

Spectral unmixing using nonnegative matrix factorization with smoothed L0 norm constraint

open access: yes, 2009
Spectral unmixing using nonnegative matrix factorization with smoothed L0 norm ...
Zuyuan Yang (13101507)   +3 more
core  

Spectral Unmixing-Based Reaction Monitoring of Transformations between Nucleosides and Nucleobases. [PDF]

open access: yesChembiochem, 2020
Kaspar F   +8 more
europepmc   +1 more source

Spectral unmixing using the concept of pure variables

open access: yes, 2016
This comprehensive book presents an interdisciplinary approach to demonstrate how and why data analysis, signal processing, and chemometrics are essential to resolving the spectral unmixing ...
Kucheryavskiy, Sergey V.; id_orcid
core  

Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation. [PDF]

open access: yesIEEE Trans Med Imaging, 2020
Olefir I   +5 more
europepmc   +1 more source

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