Unfolding the Restrained Encountered in Hyperspectral Images
Kriti1, Urvashi Garg2 

1Kriti, Department of Computer Science and Engineering, Chandigarh University, India.
2Urvashi Garg, Department of Computer Science and Engineering, Chandigarh University, India.

Manuscript received on 01 March 2019 | Revised Manuscript received on 04 March 2019 | Manuscript published on 30 July 2019 | PP: 1023-1038 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1763078219/19©BEIESP | DOI: 10.35940/ijrte.B1763.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The content of the natural scenes needs to be interpreted which is the primary concern in computer vision. In the advancement of the systems focusing on the intelligent image understanding, the most powerful key is the degree to which meaningful information is extracted by the computer. Moreover with this advancement in the field of image processing, precise and huge information capturing images are desired. The hyperspectral images find its place in such fields of applications. For a single scene, the hyperspectral images (HSI) are composed of hundreds of channels of spectral data. For different materials, with the availability of detailed spectral information, hundreds of contracted bands are collected by hyperspectral sensors. However, with the dimensional complexity, its impact varies from field to field. We reiterate our main focus in this article on providing the various challenges existing relating to HSI and a case study of the current solutions provided for each. A clear depiction of the current issues and approaches in the field of compression as well as some general issues are also discussed towards the end section.
Index Terms: Hyperspectral Imaging (HSI), Hyperspectral Sensors, Multispectral Imaging.

Scope of the Article: Image Security