Results 91 to 100 of about 10,052 (204)

Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral pansharpening aims to fuse a high-resolution panchromatic image (HR-PCI) with a low-resolution hyperspectral image (LR-HSI) to produce a high-resolution hyperspectral image (HR-HSI).
Hongcheng Jiang, Zhiqiang Chen
doaj   +1 more source

SRS: 3D Mapping and Hyperspectral Imaging (HSI) v1

We have developed a protocol for utilizing stimulated Raman scattering (SRS) to acquirelabel-free measurements of specific macromolecules. When performing SRS imagingwe can acquire total protein, total lipid, unsaturated lipid, and saturatedlipid concentration from distinct Raman shift wavenumbers.
Jorge Villazon, Zhi Li, Yajuan Li, Hongje Jang, Anthony Fung, Lingyan Shi, Sanjay Jain   +6 more
openaire   +1 more source

Human Stress Detection Technologies: An In‐Depth Comparison of Machine Learning Algorithms and Applications

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Workload pressure, examination stress, family responsibilities, and a variety of other factors all contribute to an increase in stress in the body. Stress weakens the human mind and body by accelerating several health disorders. Therefore, the number of approaches for early projection of stress plays a vital role in the healthcare sector ...
Srabanti Maji, Soumen Kanrar, Pooja Gupta, Anurag Sinha, Md. Sazid Reza, G. Madhukar Rao, Shrikant Burje, Agnivesh Kumar Sinha, Sandeep bhad   +8 more
wiley   +1 more source

Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 1, January 2026.
ABSTRACT As food safety issues gain increasing attention, the need for rapid, accurate, and low‐cost detection techniques becomes essential. Colorimetric sensors, known for their rapid response, high sensitivity, low cost, and readily observable results, are playing an increasingly important role in food quality inspection. This review article provides
Jingfei Shen, Qisheng Liu, Ruxin Zhang, Zhengzhu Zhang, Quansheng Chen, Jingming Ning, Luqing Li   +6 more
wiley   +1 more source

Hyperspectral imager with folded metasurface optics [PDF]

, 2019
Hyperspectral imaging is a key characterization technique used in various areas of science and technology. Almost all implementations of hyperspectral imagers rely on bulky optics including spectral filters and moving or tunable elements.
Arbabi, Amir, Arbabi, Ehsan, Bartholomew, John G., Faraji-Dana, MohammadSadegh, Faraon, Andrei, Kamali, Seyedeh Mahsa, Kwon, Hyounghan   +6 more
core  

Contactless in vitro detection of carboxyhemoglobin using hyperspectral imaging (HSI)

Forensic Science, Medicine and Pathology
Abstract Hyperspectral imaging (HSI) allows for the contactless analysis of the composition of substances based on the reflected light and is already used in various areas of medicine. The carboxyhemoglobin (CO-Hb) concentration in blood of suspected fire victims serves to prove vitality and the cause of death. However, this metric is usually
P. Czarkowski, C. Babian, St Lüdtke, S. Baumann, J. Dreßler   +4 more
openaire   +2 more sources

Quality Analysis and Detection of Adulterants and Contaminations in Milk/Milk Powder by Raman Spectroscopy

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 1, January 2026.
ABSTRACT Milk and milk powder are central to global nutrition, yet remain vulnerable to adulteration and contamination. Adulteration using water, urea, ammonium sulfate, thiocyanates, detergents, melamine, or compositional changes with whey and carbohydrate fillers undermines nutritional quality, reduces consumer confidence, and challenges regulatory ...
B. Sudarshan Acharya, Sreerag Nair, Abdul Ajees Abdul Salam   +2 more
wiley   +1 more source

Multi-Scale CNN Based Garbage Detection of Airborne Hyperspectral Data

IEEE Access, 2019
Garbage detection is important for environmental monitoring in large areas. However, the manual patrol is time-consuming and labor-intensive. This paper proposes a method for monitoring garbage distribution in large areas with airborne hyperspectral data.
Dan Zeng, Shun Zhang, Fansheng Chen, Yueming Wang   +3 more
doaj   +1 more source

A plug-and-play Hyperspectral Imaging Sensor using low-cost equipment

HardwareX, 2020
Hyperspectral Imaging Sensors (HSI) obtain spectral information from an object, and they are used to solve problems in Remote Sensing, Food Analysis, Precision Agriculture, and others.
Jairo Salazar-Vazquez, Andres Mendez-Vazquez   +1 more
doaj   +1 more source

Multiscale Hyperspectral Pansharpening Network Based on Dual Pyramid and Transformer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral pansharpening is to fuse a high spatial resolution panchromatic image (PAN) with a low spatial resolution hyperspectral image (LR-HSI) and generate high resolution hyperspectral image (HR-HSI).
Hengyou Wang, Jie Zhang, Lian-Zhi Huo
doaj   +1 more source