Results 181 to 190 of about 204,035 (336)

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 phenotyping reveals the genetic basis of grain quality in rice. [PDF]

aBIOTECH
Hu W, Chen X, Yu J, Deng J, Ye X, Zhang C, Wang S, Song W, Ye Y, Gao X, Yang W, Liu Q, Fu X, Wu K.   +13 more
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

Explainable artificial-intelligence-based hyperspectral image analysis for leaf disease detection in intercropping system. [PDF]

Front Plant Sci
Malik V, AlJarullah A, Alsubait T, Ikram A, Goyal SB, Khan M.   +5 more
europepmc   +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

Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability

Meng Ding, Xiao Fu
openalex   +1 more source

Cross-polarised VNIR hyperspectral reflectance imaging system for agrifood products

, 2016
Nghia Nguyen Do Trong, Janos Keresztes, Bart De Ketelaere, Wouter Saeys   +3 more
openalex   +2 more sources

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

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

Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Growth and Water Use Efficiency After Biochar Application

, 2021
Hongxiao Jin, Christian Josef Köppl, Benjamin Fischer, Johanna Rojas Conejo, Mark S. Johnson, Laura Morillas, Steve W. Lyon, Ana María Durán‐Quesada, Andrea Suárez Serrano, Stefano Manzoni, Mónica García   +10 more
openalex   +2 more sources