Application of Hyperspectral Technology in Agriculture and Biology Industry
The current consumer electronics is moving towards more precise, and the development of 5G and Internet of Things has given a market demand for mobile phone multi-functional integration. Users will not be satisfied for only communications and entertainment. To promote the convenience of end-user is one of the tasks of technology development. From the perspective of UAV product from the consumer field, its multivariate application scenarios have used a variety of sensing / detecting chip systems and lens modules. Infrared technologies innovation and integration is making drones in mapping or fire safety systems more precise and effective. Foreseeably, future consumer electronics need to add more technological innovation. At present, the infrared industry is focused on how to accelerate the infrared industry technology into more civil markets.
Hyperspectral remote sensing technology is an emerging technology developed in the early 1980s and has become one of the hottest frontier topics in the field of remote sensing science. With high spectral resolution, hyperspectral technology can simultaneously obtain geometric and spectral characteristics of features, and realize fine classification of features and identification of material components. It has broad application prospects in agriculture and biological industries such as fine classification of vegetation and productivity assessment of soil organic matter content and fertility, crop growth and yield prediction, agricultural pest monitoring, ecosystem diversity and species community research. It has become a frontier technology that countries are competing to develop.
The current situation and trend analysis of hyperspectral imaging development is that satellite-borne hyperspectral technology was dominated by foreign countries before 2000, mainly experimental and scientific satellites, with low amplitude - spatial resolution ratio, and some spectral coverage only to the near-infrared band. Hyperion of the United States is a typical representative of satellite-borne hyperspectral imager. The advancement of China's satellite-borne hyperspectral technology is mainly dominated by the institutes of the Academy of Sciences, which started 5 to 10 years later than foreign countries. At present, China's satellite-borne hyperspectral technology has come to the forefront in the world. Compared with Hyperion, GF-5/AHSI has 8 times higher amplitude, nearly 100 more spectral channels, and nearly 4 times higher signal-to-noise ratio. Compared with current international hyperspectral imagers, the number of spectral bands has increased by nearly a hundred, and the width-spatial resolution ratio has nearly been doubled. Shanghai Institute of Technology of Chinese Academy of Sciences has broken through the key technologies of broad spectrum, wide range, high detection sensitivity, and high accuracy, and developed the first wide range and broad-spectrum satellite-borne hyperspectral imaging payload, which fills the gap of infrared hyperspectral data acquisition.
High-performance satellite-borne spectral cameras can play an important role in various industries, such as ecological environment, mineral resources, soil pollution, urban change, as well as monitoring fields like forestry, agriculture, and fishery.
Water pollution applications: very high spectral resolution, can be very clear detection of water quality of the physical situation. These applications have also been a very good evaluation in our ecological and environmental protection, and has reached the highest level of modern high light remote sensing.
Mineral resources: underground minerals can penetrate the surface later to identify the surface material and analyze the process of the evolution of the underground composition structure performance, which can well detect the detection of compounds of the earth's underground organisms. The development of hyperspectral technology is tantamount to spanning the search for minerals from the core to the surface.
Ecological system: The classification rate of hyperspectral is very strong, and the accuracy of hyperspectral classification to more than ten categories is still relatively high, to achieve "green mountains and water" for effective detection of the ecological system, classification is very important.
Gas emission monitoring: the current methane emissions are detected clearly; it has been able to detect 35 points through the U.S. airborne hyperspectral for carbon emissions.
Regarding the use of hyperspectral technology in agriculture, food security is the weight of the heavy, high spectroscopy can take responsibilities in the monitoring of crop species, auditations of agriculture, planting area monitoring, crops growing monitoring, pest control, soil fat monitoring, soil testing and so on. Fluorescence and crops are completely related to highly related similarities and have an important role in the early detection and prevention of land arid and crop pests and prevent significant losses. In addition, through the identification of the object type, the crop area is evaluated by the long-term detection or field sampling investigation units, and the rapid estimation of large-area crops can be achieved, and the agricultural activity management strategy can be arranged.
Let's learn more about the application of hyperspectral technology in biomedical field.
1. Diagnose the tissue disease state, at a specific wavelength, the chemical composition and physical characteristics of different pathological state tissues have different reflectance, absorbance and electromagnetic energy, which are manifested as differences in characteristic spectral peaks, through analyzing these spectral signals, qualitative or quantitative detection of tissue state information can be realized, and according to the spatial distribution information provided by hyperspectral images, visualization of different pathological states of tissues can be achieved. By analyzing these spectral signals, the qualitative or quantitative detection of tissue state information can be realized, and the visualization of different pathological states of tissues can be achieved based on the spatial distribution information provided by hyperspectral images, so as to achieve diagnostic results.
2. By obtaining different dimensional data of biological tissues such as space, spectrum and radiation, hyperspectral technology is used to obtain the real dynamic and comprehensive information of the measured objects, and then real-time dynamic processing and analysis are performed with the support of new models and algorithms, which is useful for exploring genes, biomolecules and cells from the molecular level. This has an important role in promoting the exploration of the life activities of genes, biomolecules and cells and their relationship with the mechanism of disease development at the molecular level.
3. Hyperspectral technology was used for the identification of lesion cells in acute lymphoblastic leukemia, and the recognition accuracy of lesion cells in acute lymphoblastic leukemia could reach more than 90%.
4. Spectral imaging technology was used for the identification of unstained nerves, and the initial classification of sensory and motor nerves was achieved.
5. In tumor detection, the imaging and identification speed of hyperspectral technology is much higher than that of conventional tumor medical imaging technology and is widely used.
Summary: In the field of hyperspectral imaging technology, many new principles, new schemes and new technologies are being implemented and applied, and the integrated acquisition and processing capability of multiple information has been greatly enhanced, and hyperspectral imaging is gradually developing in the direction of large field of view, large relative aperture, high resolution and high quantification. Meanwhile, with the continuous development and maturity of hyperspectral imaging technology, its cost will be greatly reduced, and its commercial application will be an important direction for future development. In the future, it will play a greater role in agriculture, biomedical and fluorescence detection.