VE-MLM: A variable endmember-based multilinear mixing framework for crop FAPAR estimation using UAV multispectral imagery. [PDF]
Yuan N +9 more
europepmc +1 more source
Increasing and evaluating the reliability of multiple endmember spectral mixture analysis (MESMA) [PDF]
Dech, Stefan +2 more
core
Simulation of Image Multi-Spectrum Using Field Measured Endmember Spectrum
The characteristic of landscape spectrum is the basic of application of remote sensing and plays an important role in quantitative analysis of remote sensing However, in spectrum-based application of remote sensing because the difference of measuring ...
Ding Jian Li +3 more
core
Label-free biochemical imaging and time point analysis of neural organoids via deep learning-enhanced Raman microspectroscopy. [PDF]
Georgiev D +6 more
europepmc +1 more source
Geological, land use and biological influences on carbon cycling and CO<sub>2</sub> degassing in the Danube River. [PDF]
Maier J, Barth JAC.
europepmc +1 more source
Quantifying Components in a Model Vaccine with Machine-Learning-Augmented Raman Spectroscopy. [PDF]
Hahn J +7 more
europepmc +1 more source
Vegetation transpiration contributions to precipitation recycling in a semi-arid grassland: an isotope-constrained source partitioning framework. [PDF]
Guo S, Jia D, Ji M, Wang R, Zhang D.
europepmc +1 more source
A global helium clock for groundwater residence time. [PDF]
Matsumoto T +10 more
europepmc +1 more source
Estimating Endmember Backscattering Coefficients Within the Mixed Pixels Based on the Microwave Backscattering Contribution Decomposition Model. [PDF]
Song Y +6 more
europepmc +1 more source
Deep-Learning-Driven High-Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon-Limited Conditions. [PDF]
Li R +11 more
europepmc +1 more source

