Approches and challenges in classification for hyperspectral data: A review

Hyper spectral imaging offers high spectral resolution and hence an improved in categorization of images, detection and identification is possible. In this study, a review on recent various approaches and challenges in hyper spectral images are presented. At first a brief glance towards the related work is made available followed by various approaches for classification related to hyperspectral data is made available. Finally outline the challenges connected to this area. In this paper particularly focused in the aspects of approaches and challenges in the hyperspectral image.