Results 151 to 160 of about 270,656 (363)

Hyperspectral Image Classification Based on Unsupervised Regularization [PDF]

, 2023
Jian Ji, Shuiqiao Liu, Fangrong Zhang, Xianfu Liao, Shuzhen Wang, Junru Liao   +5 more
openalex   +1 more source

BCARS Simulated Phantom Dataset for Evaluation of Processing Pipelines

Journal of Raman Spectroscopy, EarlyView.
A tissue phantom, containing fingerprint Raman spectra at each pixel, is developed to evaluate Raman signal processing pipelines. The phantom is created from a BCARS image of a murine hepatic tissue. ABSTRACT Broadband coherent anti‐Stokes Raman scattering (BCARS) microscopy is a powerful label‐free biological imaging technique, but the raw signal ...
Jessica Z. Dixon, Eric G. Baker, Charles H. Camp, Sidharth Laxminarayan, Abigail Bonde, Marcus T. Cicerone   +5 more
wiley   +1 more source

A Preliminary Study on the Utilization of Hyperspectral Imaging for the On-Soil Recognition of Plastic Waste Resulting from Agricultural Activities [PDF]

, 2023
Giuseppe Bonifazi, Eleuterio Francesconi, Riccardo Gasbarrone, Roberta Palmieri, Silvia Serranti   +4 more
openalex   +1 more source

The contribution of vibrational spectroscopy and data analytics towards the achievement of the global sustainability goals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract The United Nations Sustainable Development Goals (UN SDGs) were defined to improve the quality of life of the global population particularly regarding social and economic aspects, with a major focus on environmental sustainability. The incorporation of digital technologies into the agri‐food sector has become a key enabler in increasing the ...
Daniel Cozzolino, Louwrens C Hoffman
wiley   +1 more source

Two-Orientations Finite Markov Real-Time Local Anomaly Detection via Pixel-by-Pixel Processing for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Real-time local anomaly detection needs to be performed simultaneously with hyperspectral image acquisition. However, the discussion on the scope of using existing data, mainly focuses on line-by-line data acquisition methods and does not address pixel ...
Shihui Liu, Meiping Song
doaj   +1 more source

Multi-Species Prediction of Physiological Traits with Hyperspectral Modeling [PDF]

, 2022
Meng-Yang Lin, Valerie Lynch, Dongdong Ma, Hideki Maki, Jian Xun Jin, Mitchell R. Tuinstra   +5 more
openalex   +1 more source

Desertification Risk: Bibliometric Analysis and Future Research Directions

Land Degradation &Development, EarlyView.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source

Computational Hyperspectral Microflow Cytometry

Small
AbstractMiniaturized flow cytometry has significant potential for portable applications, such as cell‐based diagnostics and the monitoring of therapeutic cell manufacturing, however, the performance of current techniques is often limited by the inability to resolve spectrally‐overlapping fluorescence labels.
Hyo Geun Yun, Yoel Alonso Cadierno, Tae Won Kim, Arrate Muñoz‐Barrutia, Daniel Garica‐Gonzalez, Sungyoung Choi   +5 more
openaire   +3 more sources

Subpixel Mapping of Hyperspectral Images Using a Labeled-Unlabeled Hybrid Endmember Library and Abundance Optimization

, 2020
Yifan Zhang, Ting Wang, Shaohui Mei, Qian Du   +3 more
openalex   +1 more source

pamfit: A new R package for spatially resolved analysis of Imaging PAM photosynthesis–irradiance light curve parameters

Limnology and Oceanography: Methods, EarlyView.
Abstract Imaging Pulse Amplitude Modulation (PAM) fluorometry allows spatially resolved measurements of Photosystem II (PSII) fluorescence kinetics through time without disturbing study organisms or their environments. In particular, the use of photosynthesis–irradiance curves (P–I curves) provides detailed information on PSII quantum efficiency ...
B. Jesus, P. Cartaxana, C. Williamson
wiley   +1 more source