Results 191 to 200 of about 109,853 (338)

A Model for Identifying the Fermentation Degree of Tieguanyin Oolong Tea Based on RGB Image and Hyperspectral Data. [PDF]

Foods
Huang Y, Chen Y, Li C, Wang T, Zheng C, Zhao J.   +5 more
europepmc   +1 more source

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning. [PDF]

Int J Appl Earth Obs Geoinf, 2022
Döpper V, Rocha AD, Berger K, Gränzig T, Verrelst J, Kleinschmit B, Förster M.   +6 more
europepmc   +1 more source

Compositions of urban surface materials and their use for deriving urban structure types in 30m hyperspectral remote sensing data [PDF]

, 2018
Marianne Jilge, Hannes Feilhauer, Uta Heiden, Carsten Neumann, Carsten Jürgens   +4 more
openalex  

Interpretation of Absorption Bands in Airborne Hyperspectral Radiance Data [PDF]

, 2009
Karl Heinz Szekielda, Jeffrey H. Bowles, David Gillis, W. David Miller   +3 more
openalex   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Hyperspectral data set of stone cultural relics in high-precision machine vision scene. [PDF]

Sci Data
Yang H, Peng L, Zhao G, Li X, Chen C, Liu S.   +5 more
europepmc   +1 more source

Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model. [PDF]

Plant Methods, 2022
Navarro A, Nicastro N, Costa C, Pentangelo A, Cardarelli M, Ortenzi L, Pallottino F, Cardi T, Pane C.   +8 more
europepmc   +1 more source

Artificial intelligence analysis of hyperspectral remote sensing data for management of water, weed, and nitrogen stresses in corn fields

, 2005
Tahir Waheed
openalex   +1 more source

Differentiating solar lentigines from post‐inflammatory hyperpigmentation with hyperspectral imaging: A pilot study

International Journal of Cosmetic Science, EarlyView.
This preliminary study attempted to characterize solar lentigines and post‐inflammatory hyperpigmentation (PIH) observed on Japanese women. Colorimetric features and chromophore concentrations were measured using hyperspectral imaging for each hyperpigmentation type.
Victor Egana, Carl Blaksley, Ayako Itaya, Mai Edagawa, Alexandre Nicolas   +4 more
wiley   +1 more source

Prediction of vegetation indices from down-sampled hyperspectral data using machine learning: A novel framework for olive crop monitoring. [PDF]

PLoS One
Estrada J, Cetin N, Sacilik K, Guo Z, Auat Cheein F.   +4 more
europepmc   +1 more source