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1. What is hyperspectral imaging?
Hyperspectral imaging analyzes detailed spectral data across numerous continuous wavelength bands for each pixel, offering comprehensive insights into material properties based on light reflection, absorption, and emission.

2. How does spectral sensing work?
Spectral sensing measures how materials interact with light at different wavelengths to identify their properties and detect specific features or anomalies.

3. What are the main applications of hyperspectral imaging?
Applications include agriculture, environmental management, mineral exploration, urban planning, and cultural heritage preservation.

4. What are spatial resolution and spectral resolution?
  • Spatial Resolution: Refers to the size of one pixel’s footprint on the ground, calculated as the Instantaneous Field of View (IFOV) multiplied by the flight height.
  • Spectral Resolution: Indicates the ability to differentiate between closely spaced wavelengths. Higher spectral resolution means narrower wavelength bands and improved discrimination.


5. What are the advantages of hyperspectral imaging?
  • Enhanced Detail: Provides high-resolution spectral data across many bands.
  • Subtle Feature Detection: Identifies fine differences and features.
  • Non-Destructive: Analyzes samples without causing damage.
  • Wide Application: Useful in various fields from agriculture to environmental monitoring.


6. Hyperspectral vs multispectral/RGB cameras
  • RGB cameras: Capture images in three color channels with limited spectral detail.
  • Multispectral cameras: Capture data in a few discrete bands, offering more spectral detail than RGB.
  • Hyperspectral cameras: Provide continuous spectral data across hundreds of bands for detailed analysis.


7. What types of hyperspectral imaging systems are available?
  • Pushbroom systems: Collect data line by line as the platform moves.
  • Whiskbroom systems: Use point scanners and mirrors to collect line-of-sight data.
  • Staring systems: Use filters to capture data at various wavelengths simultaneously.


8. What should be considered when setting up a hyperspectral camera?
  • Spatial and spectral resolution: Required level of detail.
  • Field of view (FOV): Area to be imaged.
  • Wavelength range: Spectral features of interest.
  • Environmental conditions: Impact of weather and lighting.


9. What are the benefits of hyperspectral imaging for research?
Offers detailed, non-destructive analysis with high-resolution data, enabling precise material identification and comprehensive studies.

10. What is VNIR hyperspectral imaging?
VNIR imaging captures data from 400 to 1000 nm, covering visible and near-infrared light, and is used for applications such as vegetation analysis and mineral exploration.