Hyperspectral Unmixing is a procedure that decomposes the measured pixel spectrum of hyperspectral data into a collection of constituent spectral signatures ...
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The first step in most hyperspectral image analysis systems is to perform a spectral unmixing to determine the original spectral signals of some set of prime ...
Spectral unmixing is one of the unique advantages of hyperspectral images to map the type of species. Such images contain a high spectral resolution making ...
Abstract. In hyperspectral imagery one pixel typically consists of a mixture of the reflectance spectra of several materials, where the mixture coefficients ...
Sep 20, 2021 · In this work, a case study based on the investigation of cross-sections from rice leaves by Raman, synchrotron infrared and fluorescence imaging ...
Aug 25, 2020 · Hyperspectral unmixing based on sparse NMF is based on nonnegative matrix model. Taking the sum of the nonnegative constraint and abundant ...
Apr 24, 2024 · 1. Comparisons of mixed and pure pixels in hyperspectral data. The unmixing process is subjective and depends on how the endmembers are defined.
Unmixing is a challenging, ill-posed inverse problem because of model inaccuracies, observation noise, environmental conditions, endmember variability, and data ...
A particular analysis task for hyperspectral images is spectral unmixing, in which a pixel is assumed to be a mixture of a (limited) number of pure spectra, the ...
In this paper, we specifically address the problem of spar- sity when unmixing the hyperspectral data sets using spectral libraries and further provide a ...