Results 91 to 100 of about 265 (159)

Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case

, 2015
In blind hyperspectral unmixing (HU), the pure-pixel assumption is well-known to be powerful in enabling simple and effective blind HU solutions. However, the pure-pixel assumption is not always satisfied in an exact sense, especially for scenarios where
Ambikapathi, ArulMurugan, Lin, Chia-Hsiang, Li, Wei-Chiang, Chi, Chong-Yung, Ma, Wing-Kin   +4 more
core   +1 more source

3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models. [PDF]

Polymers (Basel), 2022
Maibohm C, Saldana-Lopez A, Silvestre OF, Nieder JB.   +3 more
europepmc   +1 more source

Spatial sterol metabolism unveiled by stimulated Raman imaging. [PDF]

Front Chem, 2023
Zhang Y, Zhou Y, Fang W, Zhu H, Ye C, Zhang D, Lee HJ.   +6 more
europepmc   +1 more source

Spatial Clustering and Hyperspectral Unmixing of AVIRIS Cuprite data.

LAUREA MAGISTRALEGli strumenti statistici per l’analisi di dati spaziali sono un argomento che non è ancora stato completamente sviluppato. I dati spaziali sono composti da più attributi e coordinate spaziali.
BUSETTO, FEDERICO
core  

Quantitative chemometric phenotyping of three-dimensional liver organoids by Raman spectral imaging. [PDF]

Cell Rep Methods, 2023
LaLone V, Aizenshtadt A, Goertz J, Skottvoll FS, Mota MB, You J, Zhao X, Berg HE, Stokowiec J, Yu M, Schwendeman A, Scholz H, Wilson SR, Krauss S, Stevens MM.   +14 more
europepmc   +1 more source

Chemical Approaches for Measuring and Manipulating Lipids at the Organelle Level. [PDF]

Cold Spring Harb Perspect Biol, 2023
Uematsu M, Baskin JM.
europepmc   +1 more source

The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]

Sensors (Basel)
Hu L, Hu J, Gan S, Yuan X, Lu Y, Zhao H, Han G.   +6 more
europepmc   +1 more source

A Review of Pharmaceutical Robot based on Hyperspectral Technology. [PDF]

J Intell Robot Syst, 2022
Su X, Wang Y, Mao J, Chen Y, Yin A, Zhao B, Zhang H, Liu M.   +7 more
europepmc   +1 more source

LSTNet: A Reference-Based Learning Spectral Transformer Network for Spectral Super-Resolution. [PDF]

Sensors (Basel), 2022
Yuan D, Wu L, Jiang H, Zhang B, Li J.
europepmc   +1 more source

Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications. [PDF]

J Biomed Opt
Tran MH, Ma L, Yuan M, Fei B.
europepmc   +1 more source