UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 12
December-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1512010


Registration ID:
150892

Page Number

59-64

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Title

A-review Compression of Hyperspectralimage using Compressive Sensing

Abstract

A novel approach for compression of hyperspectral images is described using compressive sensing is adopted in latest signal processing technique for acquiring andrecovering a sparse signal in the most efficient way possible with the help of an incoherent projecting basis. CS is based on sampling theorem which gives batter performance than the Shannon-Nyquist sampling theorem. Hyperspectral images typically demand enormous computational resources in terms of storage, computation, input/output, throughputs particularly when real-time processing is desired so, CS is best approach for compression of hyperspectral images and transforming to different places with acceptable signal –to –noise ratio(SNR) and compression ration than other signal transformation techniques.

Key Words

Compressive sensing (CS), Hyperspectral Images, Image Compression, Lossless image compression, Lossy image compression

Cite This Article

"A-review Compression of Hyperspectralimage using Compressive Sensing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.59-64, December-2015, Available :http://www.jetir.org/papers/JETIR1512010.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A-review Compression of Hyperspectralimage using Compressive Sensing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp59-64, December-2015, Available at : http://www.jetir.org/papers/JETIR1512010.pdf

Publication Details

Published Paper ID: JETIR1512010
Registration ID: 150892
Published In: Volume 2 | Issue 12 | Year December-2015
DOI (Digital Object Identifier):
Page No: 59-64
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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