Hyperspectral Imaging Helps In Identifying The Chemical Composition Of Various Product And It Has The Ability To Measure More Than 700 Nm
Hyperspectral
imaging has been used for non-invasive disease diagnostics, and surgical
guidance. It also helps to analyze heterogeneous structures. It has a high
spectral resolution, and can detect materials at a much larger scale than
conventional imaging devices. It is non-contact, and is often used in
combination with other remote sensing instruments. HSI combines the advantages
of image analysis and spectrometry.
Hyperspectral
imaging cameras have a large number of optical filters, and use special optics
to measure the light from a target. The light is scanned at thousands of
spectra, which enable the camera to recognize materials and quantify the
materials on a surface. Hyperspectral imaging has many interesting
applications, and it may become even more popular with the advancement of
computing power.
The Global
Hyperspectral Imaging Market is estimated to be valued at US$ 287.9 Mn in 2022 and is expected to exhibit a CAGR of 15.2% over the forecast period
(2022-2030).
In the field of
medicine, HSI has been adopted for gastric cancer detection. Hyperspectral
imaging was applied to the larynx, showing expert labeling and prediction of
tumor regions. Researchers also found that the wavelengths used for spectral
reflectance detection were significantly different between the normal and
cancerous mucosa.
Hyperspectral
imaging also offers advantages
for the pharmaceutical industry, as it can identify chemical composition of
products. It can also be used to detect nonabsorbing molecular nanoparticles in
biological materials. HSI provides a new view of medical imaging.
Hyperspectral
imaging has also been used in geological applications, where it helps to map
minerals, and to identify oil sources. It can also be used for airborne
applications, in which it helps geologists understand the terrain.
Hyperspectral
imaging is also used in research and development, where it is beneficial for
the laboratory. The technology is also used in remote areas, where it is
difficult or impossible to obtain access to the sample. The hyperspectral cube
can be produced by airborne sensors, satellites, and handheld devices.
Hyperspectral
Imaging uses a combination of optical spectroscopy and image analysis
techniques. HSI combines advantages of optical imaging and image analysis to
generate a three-dimensional data cube. Hyperspectral imaging cubes are more
accurate than RGB three-color images.
A technical research center Valtion teknillinen
tutkimuskeskus (VTT) is developing hyperspectral cameras and radar technology
in April 2022. This technology uses big data and machine learning and it will
help dermatologists in identifying skin cancers in early stages.
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