• S.Veenadhari

The spectral sensing technique which takes hundreds of closest narrow waveband images in the visible and infrared regions of the electro-magnetic spectrum is known as Hyper Spectral Imaging (HSI). Although HSI was originally developed for mining and geology applications, its usage has quickly spread into other civilian sectors and more recently into the different sectors due to the ability to discriminate between materials . The capability of multispectral imaging by identifying materials that could not be resolved previously can be improved by hyper spectral imaging. Due to the technological advancements and need of different sectors, the traditional methods are obsolete and are not cost effective. It is therefore to address the cost effective ,real time and reliable, hyperspectral imaging is one of the latest technique that introduces new sensing facilities that enable improved inspection. HSI with Big data analytics is the new emerging research area giving the solutions for different research areas that includes agriculture, biomedical imaging, geosciences, physics, and surveillance.. The present paper reviews different research ideas using HSI in the field of agriculture, healthcare, and military defense areas.

Hyperspectral images, Big Data, Machine learning

"Hyperspectral imaging applications with Big Data- A review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.183-185, June-2019, Available :http://www.jetir.org/papers/JETIR1906A32.pdf

"Hyperspectral imaging applications with Big Data- A review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp183-185, June-2019, Available at : http://www.jetir.org/papers/JETIR1906A32.pdf