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Hyperspectral Vision

Hyperspectral Vision

A baseline for new technologies and analytical tools

Hyperspectral vision activities at NORCE aim to establish a baseline for new technologies and analytical tools based on hyperspectral/multispectral imaging that supports monitoring and quality control to prevent damages and wastes in the production process as well as to remote sensing material compositions and emissions.

Optical sensing and spectroscopy are intensively used methods in air quality monitoring, precision agriculture, food quality control, biomedical and clinical research, surveillance, geological exploration, and chemical detection.

Examples include quantifying pollutants or toxic agents from point or area sources whereby passive Fourier Transform Infrared Spectroscopy (FTIR) is a valuable tool for analysis and imaging of gas emissions and chemical analysis.

Contact
Nabil Belbachir

Smart instrumentering og industriell testing Research Director Smart Instrumentation and Industrial Testing - Grimstad

nabe@norceresearch.no

+47 401 08 137

Spectral imaging is about projecting the 2D photometric image along with several separate spectral bands (multispectral), or along with many continuous spectral bands (hyperspectral). Thus, spectral images contain intensity values for several or many, up to several hundred, wavelengths for each pixel.

In outdoor scenarios, the radiation measured by the spectrometer contains the spectral signatures of the background of the field of view, the pollutant cloud, and the atmosphere. The basic characteristics of spectra measured by an infrared spectrometer may be described by a model in which the atmosphere is divided into plane-parallel homogeneous layers along the optical path. Numerous chemical compounds can be identified by their spectral fingerprints. The identification method is based on the approximation of a measured spectrum using reference spectra, which can be generated with the appropriate modeling software.

The research group is devoted to researching hyperspectral vision for enabling advanced analysis capabilities. The research combines the power of high-resolution spectroscopy and the high-resolution characteristics of digital imaging, to provide a hyper/multispectral imaging system capable of recording the spatially distributed reflectance, absorbance or transmittance from an object with high spectral fidelity. The spectra collected from a production plate during a measurement are analyzed using a radiative transfer model that considers chemical compositions, temperatures, and pressures, and which is finally fitted to a reference spectrum to determine the presence and concentrations of known properties by establishing spectral signatures for the specific materials.

Research Groups
Research Groups
Research Groups