Search Results - "hyperspectral"

Early detection of drought stress in grass swards with imaging spectroscopy by Schut, Antonius, Ketelaars, J.

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Remote sensing of nitrogen and water stress in wheat by Tilling, A., O'Leary, G., Ferwerda, J., Jones, S., Fitzgerald, G., Rodriguez, D., Belford, Robert

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Reducing the dimensionality of hyperspectral remotely sensed data with applications for maximum likelihood image classification by Santich, Norman Ty

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Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress by Lowe, Amy, Harrison, Nicola, French, Andrew P.

Subjects: “…Hyperspectral imaging; Image analysis techniques; Vegetation Indices; Plant disease and stress; Early detection of stress; Hyperspectral image analysis…”
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A hyperspectral approach to understand the association between PSM (as measured by InSAR data) and vegetation assemblage for a Scottish peatland by Walker, Rachel Z.

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Imaging spectroscopy for early detection of nitrogen deficiency in grass swards by Schut, Antonius, Ketelaars, J.

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Atmospheric water vapour determination from remotely sensed hyperspectral data. by Rodger, Andrew P.

Subjects: “…remotely sensed hyperspectral data…”
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Reflectance spectral characterization and mineralogy of acid sulphate soil in subsurface using hyperspectral data by Shi, Xianzhong, Aspandiar, Mehrooz, Oldmeadow, D.

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Synergistic use of genetic algorithm and spectral angle mapper for hyperspectral band selection of roof materials by Kalantar, Bahareh, Mohd Shafri, Helmi Zulhaidi

Subjects: “…Hyperspectral; Band selection; Roof materials; Genetic algorithm; Classification…”
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Shallow water substrate mapping using hyperspectral remote sensing by Fearns, Peter, Klonowski, Wojciech, Babcock, R., England, P., Phillips, J.

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Early detection of Ganoderma boninense in oil palm seedlings using hyperspectral images and machine learning classification techniques by Noor Azmi, Aiman Nabilah

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Early detection of stress in strawberry plants using hyperspectral image analysis by Lowe, Amy

Subjects: “…Hyperspectral imaging…”
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NIR hyperspectral imaging for predicting the composition of granular food commodities by Caporaso, Nicola

Subjects: “…hyperspectral imaging…”
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Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images by Arellano, Paul, Tansey, Kevin, Balzter, Heiko, Boyd, Doreen S.

Subjects: “…Petroleum pollution; Hyperspectral remote sensing; Amazon forest; Vegetation indices; Yasuni National Park…”
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Hyperspectral imaging for non-destructive prediction of fermentation index, polyphenol content and antioxidant activity in single cocoa beans by Caporaso, Nicola, Whitworth, Martin B., Fowler, Mark S., Fisk, Ian D.

Subjects: “…Theobroma cacao; Hyperspectral chemical imaging; Cocoa quality; Antioxidant capacity; Phenolics; Near-infrared spectroscopy…”
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Non-destructive analysis of sucrose, caffeine and trigonelline on single green coffee beans by hyperspectral imaging by Caporaso, Nicola, Whitworth, Martin B., Grebby, Stephen, Fisk, Ian D.

Subjects: “…Hyperspectral chemical imaging; NIR chemical mapping; Single seed variability; Coffee sugars; Coffee chemistry; Caffeine…”
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Prediction of nitrous oxides emissions for remote sensed images and a prognosis of emissions data in agriculture and forestry by Mohamed Nazeem, Mohamed Ayoob

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Application of calibrations to hyperspectral images of food grains: example for wheat falling number by Caporaso, Nicola, Whitworth, Martin B., Fisk, Ian D.

Subjects: “…Hyperspectral imaging…”
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Protein content prediction in single wheat kernels using hyperspectral imaging by Caporaso, Nicola, Whitworth, Martin B., Fisk, Ian D.

Subjects: “…near-infrared spectroscopy; wheat protein; cereals; rapid measurement; chemical imaging; single kernel assessment; hyperspectral imaging…”
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Near infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains by Caporaso, Nicola, Whitworth, Martin B., Fisk, Ian D.

Subjects: “…hyperspectral chemical imaging; NIR spectral imaging; cereal quality; single grains analysis; non-destructive analysis; wheat…”
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