Results 61 to 70 of about 1,349 (217)

A Recurrent Feedback Hyperspectral Image Super-Resolution Reconstruction Method by Using Self-Attention-Based Pixel Awareness

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral images (HSIs) contain abundant spectral information, while the spatial resolution is usually limited. To obtain high-spatial-resolution HSIs, various HSI super-resolution (SR) methods are proposed.
Ruyi Feng, Zhongyu Guo, Xiaofeng Wang
doaj   +1 more source

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Scalable Room‐Temperature Terahertz Graphene Cameras

Small Methods, EarlyView.
ABSTRACT Terahertz (THz) imaging has emerged as a powerful tool for non‐destructive, label‐free analysis across several scientific disciplines, ranging from materials science to biomedical research. By capturing the spatial‐dependent information in a broad range of frequencies, this technique enables the identification of chemical composition ...
Lili Shi, Leonardo Viti, Miriam S. Vitiello   +2 more
wiley   +1 more source

Fusion of Hyperspectral-Multispectral images joining Spatial-Spectral Dual-Dictionary and structured sparse Low-rank representation

International Journal of Applied Earth Observations and Geoinformation, 2021
High spatial resolution hyperspectral images (HR-HSIs) have shown considerable potential in urban green infrastructure monitoring. A prevalent scheme to overcome spatial resolution limitations in HSIs is by fusing low-resolution hyperspectral images (LR ...
Nan Chen, Lichun Sui, Biao Zhang, Hongjie He, Kyle Gao, Yandong Li, José Marcato Junior, Jonathan Li   +7 more
doaj   +1 more source

Multiple-instance ensemble learning for hyperspectral images [PDF]

, 2017
An ensemble framework for multiple-instance (MI) learning (MIL) is introduced for use in hyperspectral images (HSIs) by inspiring the bagging (bootstrap aggregation) method in ensemble learning.
Ergul, Uğur, Ugur Ergul, Bilgin, Gökhan, Gokhan Bilgin   +3 more
core   +1 more source

Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns [PDF]

, 2020
Hyperspectral images (HSIs) are a powerful tool to classify the elements from an area of interest by their spectral signature. In this paper, we propose an efficient method to classify hyperspectral data using Voronoi diagrams and strong patterns in the ...
Laura Bianca Bilius, Ştefan Gheorghe Pentiuc   +1 more
core   +1 more source

A Low-Rank Tensor Model for Hyperspectral Image Sparse Noise Removal

IEEE Access, 2018
Hyperspectral image (HSI) has been widely used in target detection and classification. However, various kinds of noise in HSIs affect the applications of HSIs. In this paper, we propose a low-rank (LR) tensor recovery model to remove noise.
Lizhen Deng, Hu Zhu, Yujie Li, Zhen Yang
doaj   +1 more source

Predicting Classification Performance for Benchmark Hyperspectral Datasets

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The classification of hyperspectral images (HSIs) is an essential application of remote sensing and it is addressed by numerous publications every year.
Bin Zhao, Haukur Isfeld Ragnarsson, Magnus O. Ulfarsson, Gabriele Cavallaro, Jon Atli Benediktsson   +4 more
doaj   +1 more source

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   +3 more sources

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, EarlyView.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source