Hyperspectral Image Classification Methods in Remote Sensing - A Review

Hyper spectral image processing is becoming an active topic in remote sensing and other applications in current times. Hyper spectral images can easily distinguish materials which are spectrally similar. Many techniques are available to classify hyper spectral images which are mainly deals with the curse of dimensionality and working with few training data issues which confront during classification. This paper gives current approaches for classifying hyper spectral images based on supervised, unsupervised and semi supervised classification methods. This paper also discusses issues and prospect to conduct hyper spectral image classification to acquire good classification results.