Band selection for plastic classification using NIR hyperspectral image

Recently, there are many plastics classification methods, because the importance of recycling increases. In case of plastic, optical methods such as Near infrared (NIR) hyperspectral image sensors were introduced. But, hyperspectral image have hundreds of bands, therefore the calculation time increase. This paper presents a band selection method to reduce the calculation time for plastic classification to solve this problem.