A comparison of spectral unmixing to conventional compensation for the calculation of fluorochrome abundances from flow cytometric data
Sign Up to like & getrecommendations! Published in 2022 at "Cytometry Part A"
DOI: 10.1002/cyto.a.24669
Abstract: Traditionally, flow cytometers acquired data using the same number of detectors as fluorochromes being measured in the experiment. More recently, spectral flow cytometers utilize a larger number of detectors than fluorochromes. This seemingly small difference… read more here.
Keywords: comparison spectral; spectral unmixing; compensation; fluorochrome abundances ... See more keywords
Spectral Unmixing Methods and Tools for the Detection and Quantitation of Collagen and Other Macromolecules in Tissue Specimens.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-7113-8_30
Abstract: Collagen and other components in the extracellular matrix are proving of increasing importance for the understanding of complex cell and tissue interactions in a variety of settings. Detection and quantitation of these components can still… read more here.
Keywords: collagen; quantitation; detection quantitation; tissue ... See more keywords
Automatic Endmember Selection and Nonlinear Spectral Unmixing of Lunar Analog Minerals
Sign Up to like & getrecommendations! Published in 2017 at "Icarus"
DOI: 10.1016/j.icarus.2016.10.029
Abstract: Abstract While the interpretation of spectral reflectance data has been widely applied to detect the presence of minerals, determining and quantifying the abundances of minerals contained by planetary surfaces is still an open problem. With… read more here.
Keywords: similarity measure; endmember selection; measure; lunar analog ... See more keywords
Discrimination of Senescent Vegetation Cover from Landsat-8 OLI Imagery by Spectral Unmixing in the Northern Mixed Grasslands
Sign Up to like & getrecommendations! Published in 2019 at "Canadian Journal of Remote Sensing"
DOI: 10.1080/07038992.2019.1605586
Abstract: Abstract The mixed grasslands of North America are ecosystems with a high volume of dead biomass. This characteristic underlies key ecosystem features such as the rate of carbon and nutrient uptake, heat flux exchange between… read more here.
Keywords: senescent vegetation; mixed grasslands; vegetation; spectral unmixing ... See more keywords
Semi-NMF-Based Reconstruction for Hyperspectral Compressed Sensing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3010332
Abstract: Hyperspectral compressed sensing (HCS) is a new imaging method that effectively reduces the power consumption of data acquisition. In this article, we present a novel HCS algorithm by incorporating spatial–spectral hybrid compressed sensing, followed by… read more here.
Keywords: reconstruction; compressed sensing; hyperspectral compressed; spectral unmixing ... See more keywords
Spectral Unmixing With Multiple Dictionaries
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2779477
Abstract: Spectral unmixing aims at recovering the spectral signatures of materials, called endmembers, mixed in a hyperspectral image (HSI) or multispectral image, along with their abundances. A typical assumption is that the image contains one pure… read more here.
Keywords: multiple dictionaries; spectral unmixing; unmixing multiple; image ... See more keywords
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2958203
Abstract: In hyperspectral imaging, spectral unmixing aims at decomposing the image into a set of reference spectral signatures corresponding to the materials present in the observed scene and their relative proportions in every pixel. While a… read more here.
Keywords: spectral unmixing; hapke model; linear mixing; model ... See more keywords
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3025781
Abstract: The recent evolution of hyperspectral imaging technology and the proliferation of new emerging applications press for the processing of multiple temporal hyperspectral images. In this work, we propose a novel spectral unmixing (SU) strategy using… read more here.
Keywords: expectation maximization; filtering expectation; spectral unmixing; kalman filtering ... See more keywords
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing
Sign Up to like & getrecommendations! 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
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2693366
Abstract: In the community of remote sensing, nonlinear mixture models have recently received particular attention in hyperspectral image processing. In this paper, we present a novel nonlinear spectral unmixing method following the recent multilinear mixing model… read more here.
Keywords: mixing model; spectral unmixing; multilinear mixing; nonlinear spectral ... See more keywords
Real-Time Spatiotemporal Spectral Unmixing of MODIS Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3108540
Abstract: Mixed pixels are a ubiquitous problem in remote sensing images. Spectral unmixing has been used widely for mixed pixel analysis. However, up to now, most spectral unmixing methods require endmembers and cannot consider fully intraclass… read more here.
Keywords: spectral unmixing; time; prediction time; real time ... See more keywords