Results 191 to 200 of about 45,417 (317)

A multimodal imaging dataset for quality grading of Canadian wild rice kernels using RGB and VNIR hyperspectral data. [PDF]

Data Brief
Sikiru Y, Erkinbaev C.
europepmc   +1 more source

A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry Leaves. [PDF]

Front Plant Sci, 2022
Jung DH, Kim JD, Kim HY, Lee TS, Kim HS, Park SH.   +5 more
europepmc   +1 more source

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

Spectral Matching through Data Compression

, 2011
This paper proposes to use compression-based similarity measures to cluster spectral signatures on the basis of their similarities. Such universal distances estimate the shared information between two objects by comparing their compression factors ...
Avbelj, Janja, Reinartz, Peter, Müller, Rupert, Cerra, Daniele, Bieniarz, Jakub   +4 more
core  

Soil wetting and drying processes influence stone artefact distribution in clay‐rich soils: A case study from Middle Gidley Island in Murujuga, northwest Western Australia

Archaeometry, EarlyView.
Abstract Soils that contain swelling clay minerals (e.g., montmorillonite) expand and contract during wetting and drying, causing movement within the soil profile. This process, known as argilliturbation, can alter artefact distributions, destroy stratigraphy and complicate the interpretation of archaeological deposits.
Caroline Mather, Matthias Leopold, Kaitlin Sullivan, Kane Ditchfield, Tom Horrocks, Luke Gliganic, Emma Beckett, Diana Patalwala, Emielda Yusiharni, Michael Smirk, William Hiscock, Jo McDonald   +11 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

Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite. [PDF]

Sensors (Basel), 2021
Li S, Gao M, Li ZL.
europepmc   +1 more source

Adaptive Sampling for BRDF Acquisition

Computer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi, Saghi Hajisharif, Jonas Unger, Ehsan Miandji   +3 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