Abstract: Optical analysis techniques are used recently to detect and identify the objects from a large scale of images. Hyperspectral imaging technique is also one of them. Vision of human eye is based on three basic color (red, green and blue) bands, but spectral imaging divides the vision into many more bands. Hyperspectral remote sensors achieve imagery data in the form of hundreds of adjoining spectral bands. In this paper, our purpose is to illustrate the fundamental concept, hyperspectral remote sensing, remotely sensed information, methods for hyperspectral imaging and applications based on hyperspectral imaging. Moreover, in the forensic context, the novel methods involving deep neural networks are elaborated in this paper. The proposed idea can be useful for further research in the field of hyperspectral imaging using deep learning.

Muhammad Mateen, Junhao Wen, Nasrullah and Muhammad Azeem Akbar. “The Role of Hyperspectral Imaging: A Literature Review”. International Journal of Advanced Computer Science and Applications (IJACSA) 9.8 (2018). http://dx.doi.org/10.14569/IJACSA.2018.090808

@article{Mateen2018,
title = {The Role of Hyperspectral Imaging: A Literature Review},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090808},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090808},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Muhammad Mateen and Junhao Wen and Nasrullah and Muhammad Azeem Akbar}
}