Special Section on High-Performance Computing in Applied Remote Sensing

Digital signal processor-based three-dimensional wavelet error-resilient lossless compression of high-resolution spectrometer data

[+] Author Affiliations
Jiaji Wu

Xidian University, Institute of Intelligent Information Processing, North Campus, 2 South Taibai Road, Xi'an, Shaanxi 710071 China

Tung-Ju Hsieh

National Taipei University of Technology, Department of Computer Science and Information Engineering, No. 1, Sec. 3, Chung-Hsiao E. Road, Taipei, 10608 Taiwan

Tao Li

Xidian University, Institute of Intelligent Information Processing, North Campus, 2 South Taibai Road, Xi'an, Shaanxi 710071 China

Yang-Lang Chang

National Taipei University of Technology, Department of Electrical Engineering, No. 1, Sec. 3, Chung-Hsiao E. Road, Taipei, 10608 Taiwanylchang@ntut.edu.tw

Bormin Huang

University of Wisconsin-Madison, Studies Space Science and Engineering Center, Madison, Wisconsin 53706

J. Appl. Remote Sens. 5(1), 051504 (November 28, 2011). doi:10.1117/1.3663955
History: Received July 13, 2011; Revised October 04, 2011; Accepted November 04, 2011; Published November 28, 2011; Online November 28, 2011
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Ultraspectral sounders revolutionize the way remote sensing data are collected, retrieved, and assimilated to provide better weather, climate, and environmental prediction and monitoring. This unprecedented amount of ultraspectral data increases the burden of data bandwidth and the chance of transmission noise and error contamination. It is desired that source coding of ultraspectral data also have some error-resilient capability, in addition to the error-correcting channel coding. Earlier, we developed three-dimensional wavelet reversible variable-length coding (3DWT-RVLC) for lossless compression of ultraspectral sounder data, which has significantly better error resilience than JPEG2000 Part 2 at only a small reduction in compression gain. The reversible variable-length codes allow instantaneous decoding in both directions, which affords better detection of bit errors due to synchronization losses over a noisy channel. To explore the feasibility of 3DWT-RVLC for real-time ultraspectral data processing, we implement a memory-limited digital signal processor (DSP) version of 3DWT-RVLC. Compression experiments on 10 ultraspectral test granules obtained from the NASA Atmospheric Infrared Sounder show that the memory-limited DSP-based 3DWT-RVLC is able to perform high-speed data processing at only a small reduction in compression ratio as compared to the original 3DWT-RVLC.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Jiaji Wu ; Tung-Ju Hsieh ; Tao Li ; Yang-Lang Chang and Bormin Huang
"Digital signal processor-based three-dimensional wavelet error-resilient lossless compression of high-resolution spectrometer data", J. Appl. Remote Sens. 5(1), 051504 (November 28, 2011). ; http://dx.doi.org/10.1117/1.3663955


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