Paper
17 January 2002 New hyperspectral compression options in JPEG-2000 and their effects on exploitation
Sylvia S. Shen, James H. Kasner, Timothy S. Wilkinson
Author Affiliations +
Abstract
This paper describes a continuing study effort investigating the impact of hyperspectral compression on the utility of compressed and subsequently reconstructed data. The current study involved the application of new compression options in JPEG-2000 to hyperspectral data and the investigation of their effects on exploitation. Part II of the JPEG-2000 standard (ISO/IEC 15444-2) provides extensions to the baseline JPEG-2000 compression algorithms (ISO/IEC 15444-2) that allow for the compression of hyperspectral data. In this study, Karhunen-Loeve Transform (KLT) was used for spectral decorrelation along with wavelet compression and scalar quantization to encode two HYDICE scenes at five different average bit rates (4.0, 2.0, 1.0, 05., 02.5 bits/pixel/band). Part II of the JPEG- 2000 standard also introduces the notion of component collections, which may be used to spectrally segment (and spectrally permute) hyperspectral data. Component collections were used in conjunction with KLT to reduce computation complexity and improve numeric stability. Two exploitation tasks, anomaly detection and material identification, were performed on these compressed and reconstructed data. We report the conventional root-mean- square-error (RMSE) and peak signal-to-noise ration (PSNR) metrics. We also report the exploitation results to facilitate the determination of acceptable bit rate for each exploitation task and the comparison amongst different compression algorithms. Comparisons are also made with previously reported results using an earlier version of JPEG-2000 to compress the HYDICE data.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sylvia S. Shen, James H. Kasner, and Timothy S. Wilkinson "New hyperspectral compression options in JPEG-2000 and their effects on exploitation", Proc. SPIE 4480, Imaging Spectrometry VII, (17 January 2002); https://doi.org/10.1117/12.453335
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KEYWORDS
Wavelets

Quantization

Target detection

Detection and tracking algorithms

Computer programming

Data compression

Image compression

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