hyperspectral

SWIR Hypespectral Camera

ATH1010R-25
ATH1010R-25 is developed as a brand new SWIR imager with design optimization through technology breakthrough. It features compact size and light weight, and a wide range of 1000-2500 nm, more advantages of high spatial resolution and spectral resolution. These factors are important to mount to UAV. The ATH1010-25 consists of two parts of lens and hyperspectral imager.
Delivery
FOB
minimum order
1 unit
Country of Origin
Made in China
Quantity
Contact Now
Description：
 
ATH1010R-25 hyperspectral scanner is developed as a brand new SWIR imager with design optimization through technology breakthrough. It features compact size and light weight, and a wide range of 1000-2500 nm, more advantages of high spatial resolution and spectral resolution. These factors are important to mount to UAV. The ATH1010R-25 hyperspectral scanner consists of two parts of lens and hyperspectral imager.
ATH1010R-25 hyperspectral scanner uses high performance HgCdTe deep cooling sensor with 640 × 512 pixels, as a result of clear images, low noise point, and good linearity.
ATH1010R-25 hyperspectral scanner depends on high temperature stability and super sensitivity, which are critical factors to be widely applied to satisfied application in the lab, in the field and many industries.At present it has received great popularity in the pharmaceutical quality guarantee, food safety, and agricultural analysis.
Model
Wavelength Range
ATH1010R-17
0.9~1.7 μm, 640*512
ATH1010R-17H
0.9~1.7 μm, 1280*1024
ATH1010R-25
1.0~2.5 μm, 640*512
Features:
  • 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: 1780g
Applications：
  • 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