Making Headways In Hyperspectral Imaging Systems

By Patricia Parker


The human eye can distinguish only three primary colors of visible light. This is in contradistinction to computer vision systems, which are capable of distinguishing a greater lineup of color channels. Hyperspectral imaging systems are capable of differentiating spectral domains from infrared to ultraviolet, which enable machine visions to display the reflectance differences that humans cannot see.

This type of imaging is a photo technique that collates information from the whole spectrum of color and light. In contradistinction to traditional color cams, the digital image provided by the HSI has more data and analytics. Because of the differentiation of each pixel and cell of the image, those that observe are better placed to detect objects and find certain processes and materials.

This imaging has assorted applications and uses in everyday life. Its proper utilization, though, requires proper understanding and a certain expertise. There are many processes and strategies used in interpreting resultant images, and they also have limitations. Certain knowledge includes recognizing the different fingerprints or spectral signature of different substances and materials.

Multispectral imaging has sundry uses in astronomy, molecular biology, pharmaceuticals, forensics, geosciences, remote sensing, medical diagnosis, food and agriculture, and ecological and geological studies, among others. Astrophotography uses this technique to highlight the colors of certain nebulae and galaxies. In microscopy, it is used to emphasize the contrast already provided by stains and dyes.

In the area of forensic sciences, HSI identifies convicting evidence like blood and DNA samples and fingerprints. In the brach of medicine, HSI is used to identify certain aberrations such as tumors and foreign elements and substances that cause diseases. Remote sensing and surveillance operations by the military forces use this imaging as well in order to pinpoint targets and locations. In geology and petrology, this is used to scale topography or track undiscovered oil and gas fields.

In environmental studies, HSI is applicable in the tracking of changes in the environment, like identifying pollution levels, spreading deforestation and desertification, and much more. Even in the food industy and in agriculture, multispectral imaging has left its mark. For instance, it is widely used in seed viability testing, which establishes a seedlings germination capacity. It is also important in food research by detecting nascent spoilage of fruits, identifying the freshness of fish, and sorting fruits and vegetables.

For imaging systems and products, there are hyperspectral cameras, which can cover three hundred up to one thousand and seven hundred nanometers in spectral range. If youre after automated sorting and quality control applications, theres the hyperspectral machine vision systems. There are benchtop, outdoor, and airborne systems. Benchtop is for laboratory and industrial use, the outdoor is mounted on a tripod for field use, and the airborne is designed for UAVs and manned aircraft.Accessories like objective lenses, lighting fixtures, analysis software, and scanning stage options are already provided for.

The significance of hyperspectral images is beyond superficialities. From its nascent development from a dubious archetype to a force magnifier that has dug roots in multiple industries, it greatly underscores the importance of the success and application of scientific endeavors. It is undoubtedly a force to be reckoned with.




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