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   Articles with "spectral variability" as a keyword



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Selecting and visualizing the spectral variability relevant for sample classification using principal component analysis

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recommendations! Published in 2020 at "Journal of Analytical Atomic Spectrometry"

DOI: 10.1039/d0ja00148a

Abstract: In this work we present a simple procedure based on principal component analysis (PCA) to reconstruct a measured spectrum by selecting the portion of its total variance of interest. We also provide an approach to… read more here.

Keywords: visualizing spectral; component analysis; spectral variability; principal component ... See more keywords

Characterizing the magnetic field and spectral variability of the rigidly rotating magnetosphere star HD 345439

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recommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnrasl/slx005

Abstract: A team involved in APOGEE, one of the Sloan Digital Sky Survey III programs, recently announced the discovery of two rare rigidly rotating magnetosphere stars, HD345439 and HD23478. Near-infrared spectra of these objects revealed emission-line… read more here.

Keywords: spectral variability; field; rotating magnetosphere; magnetic field ... See more keywords

Synthetic Hyperspectral Images With Controllable Spectral Variability and Ground Truth

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3150245

Abstract: Spectral variability in hyperspectral images (HSIs) has received lot of attention over the last years, especially in the field of hyperspectral unmixing (HU) where it is a major issue. In this letter, we propose a… read more here.

Keywords: ground truth; variability; spectral variability; hyperspectral images ... See more keywords

Spectral Variability Augmented Multilinear Mixing Model for Hyperspectral Nonlinear Unmixing

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recommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2024.3482103

Abstract: This letter presents an unsupervised unmixing method to interpret both nonlinear mixing effects and spectral variability (SV). First, the traditional multilinear mixing model (LMM) is augmented by introducing physically meaningful factors representing wavelength-dependent SV into… read more here.

Keywords: variability augmented; mixing model; multilinear mixing; model ... See more keywords

Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing

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recommendations! Published in 2020 at "IEEE Transactions on Computational Imaging"

DOI: 10.1109/tci.2019.2948726

Abstract: Endmember (EM) spectral variability can greatly impact the performance of standard hyperspectral image analysis algorithms. Extended parametric models have been successfully applied to account for the EM spectral variability. However, these models still lack the… read more here.

Keywords: spectral unmixing; spectral variability; deep generative; model ... See more keywords

Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity

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recommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2018.2889256

Abstract: Spectral variability is one of the major issues when conducting hyperspectral unmixing. Within a given image composed of some elementary materials (herein referred to as endmember classes), the spectral signatures characterizing these classes may spatially… read more here.

Keywords: hyperspectral unmixing; spectral variability; class; proposed method ... See more keywords

Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability

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recommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2019.2892903

Abstract: Climate change and anthropogenic pressure are causing an indisputable decline in biodiversity; therefore, the need of environmental knowledge is important to develop the appropriate management plans. In this context, remote sensing and, specifically, hyperspectral imagery… read more here.

Keywords: classification unmixing; spectral variability; variability; hyperspectral classification ... See more keywords

Orthogonal Subspace Unmixing to Address Spectral Variability for Hyperspectral Image

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3236471

Abstract: Hyperspectral unmixing aims at estimating pure spectral signatures and their proportions in each pixel. In practice, the atmospheric effects, intrinsic variation of the spectral signatures of the materials, illumination, and topographic changes cause what is… read more here.

Keywords: orthogonal subspace; address spectral; variability; subspace ... See more keywords

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

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recommendations! Published in 2019 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2018.2878958

Abstract: Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from spectral variability, making it difficult for spectral unmixing to accurately estimate abundance maps. The classical unmixing model, the linear mixing model (LMM), generally fails… read more here.

Keywords: spectral variability; linear mixing; address spectral; variability ... See more keywords

Comparative evaluation of spectral variability-aware mixing models for marine mucilage monitoring

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recommendations! Published in 2025 at "Journal of Applied Remote Sensing"

DOI: 10.1117/1.jrs.19.044511

Abstract: Abstract. Marine mucilage poses ecological and economic concerns in coastal regions, prompting the need for timely and accurate monitoring solutions. Hyperspectral remote sensing provides rich spectral information that enables unsupervised mapping of mucilage without requiring… read more here.

Keywords: mixing model; marine mucilage; mucilage; monitoring ... See more keywords

Spectral Variability Analysis of Lupinus mutabilis Sweet Under Nanofertilizer and Chelate Application Through Spectroscopy and Unmanned Aerial Vehicle (UAV) Multispectral Images

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recommendations! Published in 2025 at "Agronomy"

DOI: 10.3390/agronomy15020469

Abstract: Lupin is an Andean legume that has gained importance in Ecuador due to the protein content in its grain. Nonetheless, in recent times the production of lupin has been affected by inadequate nutritional management. In… read more here.

Keywords: spectroscopy; variability analysis; analysis lupinus; spectral variability ... See more keywords