NDLI: Distributive segmented PCA: A novel approach to hyperspectral image compression

Content Provider	IEEE Xplore Digital Library
Author	Naveed Ahmed, A. Syeda Narjis, F.
Copyright Year	2011
Description	Author affiliation: Institute of Avionics and Aerospace (IAA), Air University, Islamabad, Pakistan (Naveed Ahmed, A.; Syeda Narjis, F.)
Abstract	We propose a segmented PCA based distributed framework exploiting the high correlation and dimensionality reduction properties of PCA in conjugation with the distributed source coding paradigm for onboard hyperspectral image compression. The hybrid scheme deploying Lossy Wyner Ziv coding in conjunction with statistically segmented PCA strategy exploits the two fold intra group and inter group correlation for establishment of multiple independent processing elements evenly distributing the cumulative encoder load over the entire system. The net performance of this flexible infrastructure scheme is further increased by utilizing the superior rate distortion performance of JPEG2000 for high fidelity reconstruction of side information crucial for corresponding Wyner Ziv decoding. The inherent parallelism and low encoder complexity of the proposed scheme not only makes it a viable candidate for onboard implementation but also conforms it to subsequent multi node transmission. Experimental analysis demonstrates that the proposed scheme offers a novel perspective and competitive performance as compared to other techniques in the same domain.
Starting Page	1
Ending Page	5
File Size	1147921
Page Count	5
File Format	PDF
ISBN	9781612848310
e-ISBN	9781612848327
DOI	10.1109/ICAICT.2011.6111023
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-12
Publisher Place	Azerbaijan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	JPEG2000 Encoding Distributive Segmented PCA Image reconstruction Wyner Ziv Encoding Image segmentation Image coding Distributed Source Coding Bit rate Transform coding Hyperspectral Images Principal Component Analysis Hyperspectral imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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