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SWIR Hyperspectral Camera
Product Code: ATH1010R
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application

    • ATH1010R Shortwave Infrared Hyperspectral Imager is a compact, lightweight system optimized for UAV integration. Operating in 0.9-1.7 μm or 1.0-2.5 μm spectral ranges, it combines high spatial/spectral resolution and wide imaging coverage.
    • The system features a 1280×1024 or 640×512 pixel detector array using deep-cooled InGaAs or HgCdTe technology, ensuring low-noise imaging with excellent linearity. Its thermally stabilized optical system delivers exceptional stability and sensitivity for demanding applications in pharmaceutical QA, food safety inspection, and agricultural analytics, suitable for laboratory, field, and industrial environments.
    • Comprising two core modules - imaging optics and hyperspectral imager - the device maintains robust performance across varied operating conditions.

    Detector
    Detector model Cooled InGaAs CCD
    Dimensions 319 mm × 127 mm × 125 mm
    hyperspectral
    FOV width (FOV)15.2°@f=35 mm (IFOV)2 mrad@f=35 mm
    Slit Width 15 µm,25µm optional
    Spectral Range 900~1700nm
    Spectral Resolution <4.3nm
    Weight 1.45kg
    Bit Depth 12 bits~16bits
    Optical parameter
    Working temperature -20 ~ 50°C
    Optosky Optical Parameters
    SNR 45dB
    Sensor
    Pixel Size 15 µm x 15 µm
    system parameter
    Data output interface USB3.0
    Optosky Electrical Parameters
    Power supply 12V DC,2.5A
    Electrical parameter
    Storage temperature -30 ~ 70°C

    • Imaging mode:Transmission grating , high sensitivity
    • Max.spectral range: 0.9~1.7 μm or 1.0~2.5 μm
    • Max.spatial channels: 640 or 1280
    • Max.spectral channels: 512 or 1024
    • FOV: 15.2°(Lens changeable)
    • Outstanding imaging performance
    • Data format compatible with ENVI
    • Compact size: 370mm x 85mm x 95mm
    • Lightweight: 0.9–1.7 µm, less than 0.8 kg

    • Geological and mineral resources exploration
    • Precision agriculture, crop growth and yield assessment
    • Forest pest and disease monitoring, fire prevention monitoring
    • Coastal and marine environment monitoring
    • Grassland productivity and monitoring
    • Lake and watershed environmental monitoring
    • Remote sensing education and research
    • Industrial sorting
    • Ecological environment protection and mining environment monitoring
    • Water quality testing, soil monitoring

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