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Hyperspectral Imaging

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Detection of hospital super bacteria MRSA from the hands of healthcare professionals using machine learning and hyperspectral imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039077
Healthcare-associated infections resulting from cross-contamination, particularly from the hands of multidisciplinary staff, significantly impact patient mortality in health units. The prolonged nature of classical phenotypic diagnostic methods under...
Hand Health Personnel Humans Hyperspectral Imaging Machine Learning Methicillin-Resistant Staphylococcus aureus
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Discrimination of unsound soybeans using hyperspectral imaging: A deep learning method based on dual-channel feature fusion strategy and attention mechanism.

Food research international (Ottawa, Ont.) 40022337
The application of high-level data fusion in the detection of agricultural products still presents a significant challenge. In this study, dual-channel feature fusion model (DCFFM) with attention mechanism was proposed to optimize the utilization of ...
Deep Learning Glycine max Hyperspectral Imaging Neural Networks, Computer Spectroscopy, Near-Infrared Support Vector Machine
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Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks.

Food research international (Ottawa, Ont.) 40032463
In this work, the effect of lenticels on the predictive performance of apple and pear soluble solids content (SSC) models developed based on hyperspectral imaging (HSI) at 380-1010 nm was investigated for the first time. Variations in the spectral pr...
Algorithms Calibration Convolutional Neural Networks Discriminant Analysis Fruit Hyperspectral Imaging Least-Squares Analysis Malus Neural Networks, Computer Principal Component Analysis Pyrus
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Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging.

Food research international (Ottawa, Ont.) 40022412
Current detection methods for lipid and protein oxidation using hyperspectral imaging (HSI) in conjunction with machine learning (ML) necessitate the involvement of data scientists and domain experts to adjust the model architecture and tune hyperpar...
Animals Hyperspectral Imaging Lipids Machine Learning Oxidation-Reduction Oxidative Stress Proteins
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Hyperspectral anomaly detection with self-supervised anomaly prior.

Neural networks : the official journal of the International Neural Network Society 40020355
Hyperspectral anomaly detection (HAD) can identify and locate the targets without any known information and is widely applied in Earth observation and military fields. The majority of existing HAD methods use the low-rank representation (LRR) model t...
Algorithms Humans Hyperspectral Imaging Neural Networks, Computer Supervised Machine Learning
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A spatial-spectral fusion convolutional transformer network with contextual multi-head self-attention for hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society 40101555
Convolutional neural networks (CNNs) can effectively extract local features, while Vision Transformer excels at capturing global features. Combining these two networks to enhance the classification performance of hyperspectral images (HSI) has garner...
Attention Humans Hyperspectral Imaging Image Processing, Computer-Assisted Neural Networks, Computer
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Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society 40096765
Recently, cross-scene hyperspectral image classification(HSIC) via domain adaptation is drawing increasing attention. However, most existing methods either directly align the source domain and target domain without fully mining of SD information, or ...
Algorithms Humans Hyperspectral Imaging Image Processing, Computer-Assisted Neural Networks, Computer Semantics
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Measuring the Level of Aflatoxin Infection in Pistachio Nuts by Applying Machine Learning Techniques to Hyperspectral Images.

Sensors (Basel, Switzerland) 40096410
This paper investigates the use of machine learning techniques on hyperspectral images of pistachios to detect and classify different levels of aflatoxin contamination. Aflatoxins are toxic compounds produced by moulds, posing health risks to consume...
Aflatoxins Food Contamination Hyperspectral Imaging Machine Learning Nuts Pistacia
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Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approach.

Scientific reports 40050303
A verifiable and regional level method for mapping crops cultivated under organic practices holds significant promise for certifying and ensuring the quality of farm products marketed as organic. The prevailing method for the identification of organi...
Crops, Agricultural Hyperspectral Imaging India Machine Learning Organic Agriculture Remote Sensing Technology Solanum melongena Vegetables
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Dual selective fusion transformer network for hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society 40048755
Transformer has achieved satisfactory results in the field of hyperspectral image (HSI) classification. However, existing Transformer models face two key challenges when dealing with HSI scenes characterized by diverse land cover types and rich spect...
Algorithms Hyperspectral Imaging Image Processing, Computer-Assisted Neural Networks, Computer
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