Results 171 to 180 of about 1,165,369 (212)

Mineral biosignature identification from Raman spectroscopy using machine learning. [PDF]

PNAS Nexus
Li Y, Prabhu A, Hou B, Wong ML, Lu A, Xing J, Ngo D, Xu B, Hazen RM.   +8 more
europepmc   +1 more source

East Siberian ice wedges recording dust transport variability during the Late Pleistocene. [PDF]

Nat Commun
Kim S, Lee H, Kim J, Lee Y, Choi JH, Lee MJ, Kwon UJ, Iwahana G, Opel T, Meyer H, Wetterich S, Fedorov A, Ahn J.   +12 more
europepmc   +1 more source

Three-dimensional reconstruction of glacier-derived freshwater in East Antarctica using an end-member-independent hydrographic parameterization. [PDF]

Nat Commun
Watanabe YW, Hirano D, Ohashi Y, Sugita M, Nakano Y, Makabe R, Mizobata K.   +6 more
europepmc   +1 more source

Mapping terrestrial macroplastics and polymer-coated materials in an urban watershed using WorldView-3 and laboratory reflectance spectroscopy. [PDF]

Environ Monit Assess
Aguilar E, Sousa D, Uhrin AV, Gudino-Elizondo N, Biggs T.   +4 more
europepmc   +1 more source

Unveiling Hidden Mercury and Methylmercury Sources: The Role of Submarine Groundwater Discharge in Coastal Lagoons. [PDF]

Environ Sci Technol
Lavergne C, Rodriguez-Puig J, Ruiz-González C, Montero-Curiel M, Casas G, Romano-Gude D, Alorda-Montiel I, Dordal-Soriano J, Alorda-Kleinglass A, Diego-Feliu M, Gilabert J, Campillo-de La Maza A, Romera-Castillo C, Torres-Rodriguez N, Heimbürger-Boavida LE, García-Orellana J, Rodellas V, G Bravo A.   +17 more
europepmc   +1 more source

Carbon and oxygen isotope evidence for a protoplanetary disk origin of organic solids in meteorites. [PDF]

Proc Natl Acad Sci U S A
Lawrence WM, Blake GA, Eiler J.
europepmc   +1 more source

A Diffusion-Driven CH4-O2 Boundary Structures Methane Oxidation and Carbon Transformation in Upland Soils. [PDF]

Environ Sci Technol
Chase AB, Jayarathne JRRN, Haghighatjoo M, Tabor NJ, Smits KM.   +4 more
europepmc   +1 more source

Sum-Product Unmixing for Hyperspectral Analysis With Endmember Variability

IEEE Geoscience and Remote Sensing Letters, 2018
Models of endmember variability capture the notion that multiple spectra may represent a single class or material, and while these models are physically realistic, they often give rise to excessive computational complexity during the spectral unmixing process.
Charan Puladas, Katie Hossler, Joshua N. Ash   +2 more
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Endmember extraction analysis considering endmember variability

2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013
In recent years, several kinds of endmember extraction algorithms have been proposed from hyperspectral data set which extracts/selects one single standard endmember spectrum for each existing endmember class or scene component. In this article, endmember variability is considered to the mixture spectrum analysis by representing each endmember by a set
Liangpei Zhang, Mingming Xu
exaly   +2 more sources

A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes

IEEE Transactions on Geoscience and Remote Sensing, 2016
Spectral variability, unrelated to the purity of endmembers, can change the geometry of the dataspace and affect conventional methods used to identify endmembers. Several methods have been developed to identify and extract endmember bundles representing the spectral variability within each endmember class.
Arman Melkumyan, Tatsumi Uezato, Richard Murphy   +2 more
exaly   +2 more sources