• G.Kalaiarasi
• S.Maheswari
• J.Nandhini
• A.S.Narmadha

Hyper Spectral Image (HSI) is a spatially sampled image collected from hundreds of neighboring narrow spectral bands by hyper spectral sensors. Hyper spectral classification classifies the pixels into different categories. HSI classification is used to manage the higher dimensional training samples. Hyper spectral target detection is used to detect the targets by developing the spectral signatures of materials. Pictograph scene hiding is used for hiding all other area except the targeted area to improve the privacy level. But, the classification accuracy and target detection rate is not improved in existing techniques. The classification and target detection performance is to be improved in hyper spectral image by addressing the existing issues. Our key objective is to improve the classification accuracy and reduce the target detection time by using new classification techniques in hyper spectral image.

Hyper Spectral Image, target detection, pictographic scene hiding, classification, dimensionality, spectral bands

"A SURVIVAL STUDY ON CLASSIFICATION AND TARGET DETECTION FOR DATA HIDING IN HYPER SPECTRAL IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.299-310, October-2018, Available :http://www.jetir.org/papers/JETIR1810948.pdf

"A SURVIVAL STUDY ON CLASSIFICATION AND TARGET DETECTION FOR DATA HIDING IN HYPER SPECTRAL IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp299-310, October-2018, Available at : http://www.jetir.org/papers/JETIR1810948.pdf