Results 181 to 190 of about 35,844 (297)

Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep Features from Near Infrared Hyperspectral Imagery. [PDF]

Sensors (Basel), 2021
Yang B, Ma J, Yao X, Cao W, Zhu Y.
europepmc   +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

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

A Hybrid convolution neural network for the classification of tree species using hyperspectral imagery. [PDF]

PLoS One
Wang J, Jiang Y.
europepmc   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach. [PDF]

PLoS One
Afjal M, Mondal MNI, Mamun MA.
europepmc   +1 more source

Local spatial distribution of J‐aggregates in molecularly oriented bisazo‐dye thin films

Journal of Microscopy, EarlyView.
Abstract The spatial distribution of partially grown J‐aggregates in films of oriented linear bisazo‐dye molecules is analysed using polarised optical microscopy (POM), atomic force microscopy (AFM), and hyperspectral imaging. By depositing the bisazo dye onto a poly(tetrafluoroethylene) alignment layer, an oriented thin film containing highly oriented
Jian Yu, Tetsuya Aoyama, Atsuya Muranaka, Masamitsu Ishitobi, Hirohito Umezawa, Masanobu Uchiyama, Yutaka Yamagata, Toshihiko Tanaka, Shinya Matsumoto   +8 more
wiley   +1 more source

Terahertz time-domain spectro-imaging and hyperspectral imagery to investigate a historical Longwy glazed ceramic. [PDF]

Sci Rep
Fauquet F, Galluzzi F, Taday PF, Chapoulie R, Mounier A, Ben Amara A, Mounaix P.   +6 more
europepmc   +1 more source

Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery. [PDF]

Sensors (Basel), 2020
Yang B, Gao Y, Yan Q, Qi L, Zhu Y, Wang B.   +5 more
europepmc   +1 more source

Bridging data silos to holistically model plant macrophenology

New Phytologist, EarlyView.
Summary Phenological response to global climate change can impact ecosystem functions. There are various data sources from which spatiotemporal and taxonomic phenological data may be obtained: mobilized herbaria, community science initiatives, observatory networks, and remote sensing.
Lizbeth G. Amador, Tadeo H. Ramirez‐Parada, Isaac W. Park, Susan J. Mazer, Aaron M. Ellison, Margaret O'Brien, Eric R. Sokol, Colin A. Smith, Charles C. Davis, Sydne Record   +9 more
wiley   +1 more source