{"id":10807,"date":"2021-03-02T11:00:49","date_gmt":"2021-03-02T11:00:49","guid":{"rendered":"https:\/\/www.prophotonix.com\/?p=10807"},"modified":"2021-04-07T10:15:53","modified_gmt":"2021-04-07T09:15:53","slug":"multispectral-and-hyperspectral-imaging-techniques","status":"publish","type":"post","link":"https:\/\/www.prophotonix.com\/multispectral-and-hyperspectral-imaging-techniques\/","title":{"rendered":"Multispectral and Hyperspectral Imaging Techniques"},"content":{"rendered":"

Multispectral and hyperspectral imaging techniques are growing in prominence in recent years as new applications have emerged and the cost of the technology has reduced. In this blog post we will explore what multispectral and hyperspectral imaging is, as well as provide a definition for each, and then discuss some key applications, the requirements for a multispectral or hyperspectral imaging system, and the advantages of using LEDs and LED selection criteria.<\/p>\n

What is Multispectral and Hyperspectral Imaging?<\/h2>\n

Multispectral and hyperspectral imaging provides the capability to image a target in ways that are otherwise invisible to the naked eye. This technique allows for differences in objects that appear similar to be easily detected. For example, in apple sorting, differing levels of ripeness can be identified with hyperspectral imaging, providing early quality detection and optimal sorting and grading.<\/p>\n

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What is the Difference Between Multispectral and Hyperspectral Techniques?<\/h2>\n

There are currently no strict definitions on the exact differences between multispectral and hyperspectral imaging. Most agree the main difference between the two techniques is the number of detection bands from which the image is composed. Hyperspectral imaging has a significantly higher number of detection bands than multispectral imaging. Filtering is usually used in multispectral imaging with a common RGB-IR illumination system having 4 detection bands. In hyperspectral imaging, a dispersive element such as a prism or grating can be used to spread light across a sensor array resulting in hundreds of detection bands.<\/p>\n

Key Applications<\/h2>\n

Multispectral and hyperspectral imaging techniques are good for applications where vast amounts of spectral data are required to determine the exact nature of the material. Some examples of applications where this technique provides an advantage are:<\/p>\n