Theses and Dissertations

Author

Wei Zhu

Issuing Body

Mississippi State University

Advisor

Du, Jenny Q.

Committee Member

Fowler, James E.

Committee Member

Younan, Nicholas

Date of Degree

1-1-2007

Document Type

Graduate Thesis - Open Access

Degree Name

Master of Science

College

College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

Because of the vast data volume of hyperspectral imagery, compression becomes a necessary process for hyperspectral data transmission, storage, and analysis. Three-dimensional discrete wavelet transform (DWT) based algorithms are particularly of interest due to their excellent rate-distortion performance. This thesis investigates several issues surrounding efficient compression using JPEG2000. Firstly, the rate-distortion performance is studied when Principal Component Analysis (PCA) replaces DWT for spectral decorrelation with the focus on the use of a subset of principal components (PCs) rather than all the PCs. Secondly, the algorithms are evaluated in terms of data analysis performance, such as anomaly detection and linear unmixing, which is directly related to the useful information preserved. Thirdly, the performance of compressing radiance and reflectance data with or without bad band removal is compared, and instructive suggestions are provided for practical applications. Finally, low-complexity PCA algorithms are presented to reduce the computational complexity and facilitate the future hardware design.

URI

https://hdl.handle.net/11668/18294

Comments

image compression||JPEG2000||discrete wavelet transform||principal component analysis||low-complexity PCA||hyperspectral imagery

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