Results 141 to 150 of about 1,373 (228)

Radon‐222 as an Effective Tracer to Distinguish Groundwater Circulation Patterns in the Deep Fault‐Controlled Geothermal System

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Groundwater flow regulated by deep faults remains challenging to trace due to structural complexity. This study applies the noble gas tracer 222Rn combined with hydrochemistry and stable isotopes (δ2H, δ18O) to distinguish circulation patterns of geothermal springs along a major fault in the Tibetan Plateau.
Xiaoyan Shi, Xingxing Kuang, Meizhuang Zhu, Linfeng Fan, Xinkang Wang, Gexi Zheng, Yinlei Hao, Chunmiao Zheng   +7 more
wiley   +1 more source

Quantifying Components in a Model Vaccine with Machine-Learning-Augmented Raman Spectroscopy. [PDF]

Anal Chem
Hahn J, Gune P, Hein S, Holtkamp W, Schulz MH, Matheis W, Öppling V, Kamp C.   +7 more
europepmc   +1 more source

Spatially resolved quantification of wheat kernel vitreousness using hyperspectral imaging and spectral unmixing. [PDF]

Front Plant Sci
Jeong SW, Kim YW, Kim Y, Baek KH, Kang CS, Lee JH, Park YI, Choi MG.   +7 more
europepmc   +1 more source

Estimating Endmember Backscattering Coefficients Within the Mixed Pixels Based on the Microwave Backscattering Contribution Decomposition Model. [PDF]

Sensors (Basel)
Song Y, Zhang Z, Zheng H, Hou X, Lei J, Gao X, Hellwich O.   +6 more
europepmc   +1 more source

Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing. [PDF]

Small Methods
Cheng X, Picheo E, Chen Z, Booth MJ, Salter PS, Fernández-Galiana Á.   +5 more
europepmc   +1 more source

Efficient algorithm for optimal wavelength selection in photoacoustic spectral unmixing. [PDF]

Biomed Opt Express
Smith C, Langley A, Sankepalle D, Mallidi S, Bouma BE, Veysset D.   +5 more
europepmc   +1 more source

AI-based autism identification from hyperspectral imaging detection of oxidative stress in pediatric red blood cells. [PDF]

Commun Med (Lond)
Vartian R, Sansone A, Batani G, Parmeggiani A, Grossi E, Marini M, Catania VD, Lima M, Ghezzo A, Panisi C, Angotti M, Abruzzo PM, Serpe C, Vignini A, Spyratou E, Efstathoupoulos EP, Chatgilialoglu C, Ferreri C.   +17 more
europepmc   +1 more source

Blind hyperspectral unmixing using an Extended Linear Mixing Model to address spectral variability

, 2015
International audienceThe Linear Mixing Model is often used to perform Hyperspec-tral Unmixing because of its simplicity, but it assumes that a single spectral signature can be completely representative of an endmember.
Henrot, Simon, Drumetz, Lucas, Veganzones, Miguel Angel, Jutten, Christian, Chanussot, Jocelyn   +4 more
core  

Assessing Changes in Grassland Species Distribution at the Landscape Scale Using Hyperspectral Remote Sensing. [PDF]

Sensors (Basel)
Ohiaeri O, Portillo-Quintero C, Laza H.
europepmc   +1 more source

Endmember extraction algorithms from hyperspectral images

, 2006
During the last years, several high-resolution sensors have been developed for hyperspectral remote sensing applications. Some of these sensors are already available on space-borne devices. Space-borne sensors are currently acquiring a continual stream
Aguilar, P. L., Cantero, M. C., Plaza, A., Martínez, P. J., Pérez, R. M., Plaza, J.   +5 more
core