Results 141 to 150 of about 11,136 (312)
Classification techniques for hyperspectral remote sensing [PDF]
, 2011 This study concerns with classification techniques in high dimensional space such as that of Hyperspectral Imaging (HSI) data sets, with objectives of understanding the strength and weakness of various classifiers and at the same time to study how ...
Kam, Firmin
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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 +2 more
wiley +1 more source
Potential of Snapshot-Type Hyperspectral Imagery Using Support Vector Classifier for the Classification of Tomatoes Maturity. [PDF]
Sensors (Basel), 2022 Cho BH, Kim YH, Lee KB, Hong YK, Kim KC.
europepmc +1 more source
Tracking of vehicles across multiple radiance and reflectance hyperspectral datasets
, 2009 Tracking of vehicles, in both radiance and reflectance hyperspectral imagery, was analyzed using traditional reflectance domain and forward predicting physics based target detection algorithms.
Kerekesa, John P. +2 more
core +1 more source
Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND Enzymatic browning is a significant reaction in fruits that affects their color, appearance, and quality. The quality of apples, as a perishable product, is mainly influenced by the activity of two browning‐related enzymes, polyphenol oxidase (PPO) and peroxidase (POD), during storage.
Tarahom Mesri Gundoshmian +5 more
wiley +1 more source
Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery. [PDF]
Front Plant Sci, 2022 Wu H +5 more
europepmc +1 more source
Remote SensingThe paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam +3 more
doaj +1 more source
Uncertainty assessment for a novel optically shallow water radiometric acquisition platform
Limnology and Oceanography: Methods, EarlyView.Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit +2 more
wiley +1 more source
Polysaccharide determination and habitat classification for fresh Dendrobiums with hyperspectral imagery and modified RBFNN. [PDF]
RSC Adv, 2021 Wei Y, Hu W, Wu F, He Y.
europepmc +1 more source
EnMAP - The future hyperspectral Satellite Mission Product Generation
, 2009 The basic components of the future German satellite mission EnMAP (Environmental Mapping and Analysis Program) are the project management led by the Space Agency of the German Aerospace Centre (DLR) located in Bonn-Oberkassel, the space segment ...
Neumann, Andreas +13 more
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