What Is Hyperspectral Imaging?

A spectral image with a spectral resolution in the order of 10 l is called a hyperspectral image. After the development of remote sensing technology in the second half of the 20th century, major changes have taken place in theory, technology and application. Among them, the emergence and rapid development of hyperspectral imaging technology is undoubtedly a very prominent aspect of this change. Hyperspectral sensors, namely imaging spectrometers, mounted on different space platforms, simultaneously image the target area in the ultraviolet, visible, near-infrared, and mid-infrared regions of the electromagnetic spectrum with dozens to hundreds of continuous and subdivided spectral bands . While acquiring surface image information, it also obtains its spectral information. For the first time, the combination of spectrum and image is truly achieved. Compared with multispectral remote sensing images, hyperspectral images not only greatly improve the information richness, but also provide a more reasonable and effective analysis and processing of this type of spectral data in terms of processing technology. Therefore, the impact and development potential of hyperspectral imaging technology is unparalleled in the various stages of development of previous technologies. It has not only attracted the attention of the remote sensing community, but also caused other fields (such as medicine, agriculture, food, etc.). Great interest ^[1] .