Results 101 to 110 of about 16,943 (161)

Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images. [PDF]

Entropy (Basel)
Altamimi A, Ben Youssef B.
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Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images. [PDF]

Sensors (Basel)
Długosz J, Dao PB, Staszewski WJ, Uhl T.   +3 more
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Detection of Anthocyanins in Potatoes Using Micro-Hyperspectral Images Based on Convolutional Neural Networks. [PDF]

Foods
Wang F, Li Q, Deng W, Wang C, Han L.
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Estimating Winter Canola Aboveground Biomass from Hyperspectral Images Using Narrowband Spectra-Texture Features and Machine Learning. [PDF]

Plants (Basel)
Liu X, Du R, Xiang Y, Chen J, Zhang F, Shi H, Tang Z, Wang X.   +7 more
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Spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors. [PDF]

Biomed Opt Express
Black D, Liquet B, Di Ieva A, Stummer W, Suero Molina E.   +4 more
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Classification of major species in the sericite-Artemisia desert grassland using hyperspectral images and spectral feature identification. [PDF]

PeerJ
Liu W, Han W, Jin G, Gong K, Ma J.
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Correlation analysis between texture features and elasticity of skin hyperspectral images in the near-infrared band. [PDF]

Skin Res Technol
Kim J, Lee O.
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Busov ID, Genaev MA, Komyshev EG, Koval VS, Zykova TE, Glagoleva AY, Afonnikov DA.   +6 more
europepmc   +1 more source

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Enhancing hyperspectral imaging

Nature Machine Intelligence, 2021
Hyperspectral imaging can reveal important information without the need for staining. To extract information from this extensive data, however, new methods are needed that can interpret the spatial and spectral patterns present in the images.
Rohit Bhargava, Kianoush Falahkheirkhah
openaire   +1 more source