The application of hyperspectral imaging technology in precision agriculture is mainly manifested in the monitoring of crop growth, physiological and biochemical characteristics and yield, quality status, and monitoring of pests and diseases, etc., providing technical guarantee for scientific management of crops and high yield and high efficiency.
Hyperspectral imaging technology integrates spectral technology and imaging technology into one, which can obtain the image information and spectral characteristics of the target object in food at the same time, thereby achieving efficient, fast, real-time and non-destructive detection of food. The application of hyperspectral imaging technology in food safety is mainly reflected in meat quality (such as color, tenderness, flavor, freshness, spoilage, fat, protein, moisture, PH value, etc.), fruits and vegetables (such as freshness, pesticide residues, rot, grade classification, etc.) and processed foods (if dried, biscuits, milk, etc.)
Real-time industrial sorting based on images and spectra originates from industrial color sorting technology. Color sorting technology for agricultural products and industrial raw materials sorting has gradually become an indispensable important link in product production. At present, the color sorter has become an important guarantee for the quality of various crops, including rice, soybeans, miscellaneous grains, tea, etc. The color sorter has been widely used. With the development of science and technology and the ever-increasing sorting requirements, industrial field sorting technology based on optics and images has gradually evolved from photoelectric, monochromatic linear array CCD and color linear array CCD to hyperspectral recognition technology. Color sorting technology has gradually expanded from the sorting of raw materials such as grain, quartz sand, table salt, sugar, etc. to the sorting of various industrial raw materials. Especially in recent years, the proposal of an environmentally friendly society, the recovery and reuse of various domestic industrial waste materials have created new opportunities for the development of color sorting technology.
Hyperspectral imaging technology provides accurate and efficient services for cultural relics detection, identification, repair, etc. It records the radiation, reflection, and scattering of electromagnetic waves by the target without revealing the target ’s comprehensive detection technology for characteristics, properties and changes. The technology has the feature of unifying maps and spectra, and can provide multiple spectral bands and high spectral resolution to detect the weak information of cultural relics on the ground. Hyperspectral remote sensing has the advantages of identifying weak information and quantitative detection.
The criminal investigation and forensics industries have more stringent requirements on the quality of images and the richness of information. Any subtle clues in the images may become the key to the tracking of the case. The application of hyperspectral imaging technology in the field of criminal investigation mainly includes blood stain detection, fingerprint extraction, handwriting discrimination, drug detection, paper currency discrimination, and explosive detection.
The ability of hyperspectral imaging to acquire the subtle differences in the spectrum of each pixel of the scene while imaging at a high spatial resolution makes it have features not found in other detection technologies. In the field of military camouflage, military targets can be found based on the different spectral characteristics of the background and the camouflage target. Through the spectral curve of the target, invert the target composition, so as to find the target and its camouflage different from the background environment.
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