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hyperspectral snapshot camera cubert 38  (Cubert GmbH)

 
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    Cubert GmbH hyperspectral snapshot camera cubert 38
    Hyperspectral Snapshot Camera Cubert 38, supplied by Cubert GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hyperspectral+snapshot+camera/hyperspectral+snapshot+camera+cubert+38/pmc12021105__ADVS___12___2415238___s001-125-2-11
    Average 90 stars, based on 1 article reviews
    hyperspectral snapshot camera cubert 38 - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Imaging:

    Article Title: Hyperspectral Imaging of the Hemodynamic and Metabolic States of the Exposed Cortex: Investigating a Commercial Snapshot Solution
    Article Snippet: .. A hyperspectral snapshot cameraHyperspectral imaging (HSI) based on Cubert GmbH technology (the S185 FireflEYE [ ]) was chosen for the study, due to its technical characteristics: primarily, the number of wavelength bands (138) and its spectral resolution (~4 to 8 nm) and sampling (4 nm). ..

    Sampling:

    Article Title: Hyperspectral Imaging of the Hemodynamic and Metabolic States of the Exposed Cortex: Investigating a Commercial Snapshot Solution
    Article Snippet: .. A hyperspectral snapshot cameraHyperspectral imaging (HSI) based on Cubert GmbH technology (the S185 FireflEYE [ ]) was chosen for the study, due to its technical characteristics: primarily, the number of wavelength bands (138) and its spectral resolution (~4 to 8 nm) and sampling (4 nm). ..



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    Image Search Results


    RSI2_Brain entity and equipment. a) The system is built based on a DJI M600 UAV equipped with a snapshot hyperspectral sensor, a low-light and infrared coaxial sensor, an NVIDIA Jetson Xavier NX Chip, and MiMoMesh2X2W data link equipment. b) The pipeline of the UAV RSI2_Brain system.

    Journal: PNAS Nexus

    Article Title: Remote sensing intelligent interpretation brain: Real-time intelligent understanding of the Earth

    doi: 10.1093/pnasnexus/pgaf182

    Figure Lengend Snippet: RSI2_Brain entity and equipment. a) The system is built based on a DJI M600 UAV equipped with a snapshot hyperspectral sensor, a low-light and infrared coaxial sensor, an NVIDIA Jetson Xavier NX Chip, and MiMoMesh2X2W data link equipment. b) The pipeline of the UAV RSI2_Brain system.

    Article Snippet: As shown in Fig. a, based on a DJI M600 UAV with GPS-Compass Pro module, we incorporated a snapshot type hyperspectral camera sensor (IMEC XIMEA MQ022MG-CM) that can collect image data from the visible light (mainly red light) to near-infrared bands (688–951 nm, size: 409 × 216 × 25 pixels, frame rate: 50 FPS), and also a low-light and infrared coaxial sensor that can simultaneously obtain low-light imagery (400–700 nm, size: 2048 × 2048 × 1 pixels, frame rate: 25 FPS) and infrared imagery (8,000–14,000 nm, size: 640 × 512 × 1 pixels, frame rate: 50 FPS) under the same field of view.

    Techniques: