Hyperspectral images (HSIs) are one of the most successfully used tools for precisely and potentially detecting key ground surfaces, vegetation, minerals. HSIs contain a large amount information about scene; therefore, object classification becomes difficult task such high-dimensional HSI data cube. Additionally, HSI’s spectral bands exhibit high correlation, creates dimensionality issues as we...

in instance-based learning, a training set is given to a classifier for classifying new instances. in practice, not all information in the training set is useful for classifiers. therefore, it is convenient to discard irrelevant instances from the training set. this process is known as instance reduction, which is an important task for classifiers since through this process the time for classif...