Endoscopy technology has been widely used in the field of pre-medical diagnosis. With the development of endoscopy technology, the interaction between light and biological tissues has play a role in early diagnosis and disease prevention. Various optical methods (such as reflection, absorption, fluorescence, scattering, etc.) have been used.
Based on image-level (mosaic) multispectral filter imaging technology, airborne spectral imaging index analyzers based on industrial applications have been developed.
In this paper, the hyperspectral data of the test object were collected by using the hyperspectral imager Gaia-Field (spectral range 400 nm -1000 nm) of Jiangsu Shuangli Hepu Technology Co. Ltd.
Water is the source of life, and as the blood of the ecosystem, it is the basis of human survival, production and life, and sufficient and high-quality water resources are the primary condition for the healthy cycle of the ecosystem. However, water resources are very vulnerable to pollution, especially some inland water bodies, due to the natural confinement of its pollution problem is more prominent, while water resources as a carrier of pollutants, with dynamic diffusion and spread characteristics, will further aggravate the degree of pollution of water bodies. There are many oceans and lakes in China, along with the rapid development of the economy and the enhancement of human activities, the problem of water quality pollution in oceans and lakes has become increasingly serious. It has become a key factor limiting the sustainable development of cities, so it is necessary to use high-tech means to carry out research on water quality pollution in oceans and lakes, to provide timely and rapid water quality conditions in oceans and lakes, to protect people's normal production and life.
In this study, two types of hyperspectral cameras, visible NIR and short-wave NIR, were used to classify different varieties of tobacco and stem filaments. It is clear from the analysis of the study that the visible NIR camera is not ideal in the classification study of tobacco and stem filaments, and can only distinguish flake filaments, but the short-wave NIR camera is more ideal in the classification study of tobacco and tobacco filaments，it can also effectively resolve tobacco, stem tobacco, flake tobacco Stemmed tobacco 158, Stemmed tobacco 160, and roughly distinguished expanded tobacco. The results of the study lay the foundation for further application of imaging hyperspectral technology in the tobacco industry.