Application of Hyperspectral Image Combined with Deep Learning in the Field of Food and Medical
Hyperspectral imaging(HSI),as an innovative technology,has made some achievements in food and medical fields,but it still faces challenges in data processing,model complexity,image characteristics and privacy protection.By combining HSI and deep learning,detailed spectral analysis of tissues and cells can be realized,providing rich chemical composition and functional status information,and achieving good results in food quality and safety detection,tumor detection and other fields.Therefore,this paper reviews the basic principles,advantages and wide application of HSI in food and medicine,especially in combination with deep learning architecture,to further promote the application of HSI in efficient food detection and precision medicine.This paper aims to provide reference and inspiration the research direction of combining HSI and deep learning.