Definition of hyperspectral resolution

PI Physik Instrumente - Semiconductor Applications 5/24 ROS LB

Photonics Dictionary

hyperspectral resolution: Hyperspectral resolution refers to the level of detail or granularity in the spectral information captured by a hyperspectral imaging system. In hyperspectral imaging, the electromagnetic spectrum is divided into numerous narrow contiguous bands, and the intensity of light or electromagnetic radiation is measured across each of these bands. Each band represents a specific wavelength range, allowing for detailed spectral analysis of the imaged scene.

Key points regarding hyperspectral resolution include:

Spectral bands: Hyperspectral imaging systems capture data across hundreds or even thousands of spectral bands, each covering a small and contiguous portion of the electromagnetic spectrum. The spectral bands are typically spaced evenly across the desired spectral range.

Fine spectral discrimination: High hyperspectral resolution indicates that the system can discriminate between narrow wavelength intervals, providing fine spectral detail. This level of resolution enables the detection and characterization of subtle spectral features, such as specific absorption or emission signatures associated with different materials or substances.

Enhanced spectral information: Higher spectral resolution allows for more precise identification and classification of materials or objects based on their spectral signatures. It enables the differentiation of materials with similar visual appearances but distinct spectral characteristics, improving the accuracy of analysis and interpretation.

Trade-offs: Increasing spectral resolution often comes at the expense of spatial resolution or imaging speed. Hyperspectral imaging systems must strike a balance between spectral, spatial, and temporal resolutions based on the specific requirements of the application. In some cases, it may be necessary to prioritize spectral resolution over spatial resolution or vice versa.

Applications: Hyperspectral imaging with high spectral resolution finds applications in various fields, including remote sensing, agriculture, environmental monitoring, mineral exploration, biomedical imaging, and defense. It enables detailed analysis of surface composition, vegetation health, chemical composition, disease detection, and other phenomena based on their spectral characteristics.

In summary, hyperspectral resolution refers to the level of spectral detail captured by hyperspectral imaging systems, allowing for precise characterization and analysis of materials, substances, or phenomena based on their unique spectral signatures across narrow wavelength bands.