Prof. Shih-Chieh Wei Profile

Prof. Shih-Chieh Wei

Assistant Professor of Information Management at Tamkang Univ.

SPIE Involvement:

Author

Publications (21)

Proceedings Article | 20 October 2015 Paper

Accelerating the prediction-based lower triangular transform for data compression using Intel MIC

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 9646, 96460N (2015) https://doi.org/10.1117/12.2197301

KEYWORDS: Computer programming, Data compression, Infrared radiation, Matrices, C++, Parallel processing, MATLAB, Atmospheric physics, Climatology, 3D optical data storage

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Proceedings Article | 21 October 2014 Paper

Acceleration of the partitioned predictive vector quantization lossless compression method with Intel MIC

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 9247, 92470E (2014) https://doi.org/10.1117/12.2071975

KEYWORDS: Quantization, Neodymium, Infrared radiation, Computer architecture, Graphics processing units, Spectral resolution, Climatology, Atmospheric physics, 3D optical data storage, Data archive systems

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SPIE Journal Paper | 13 August 2014

Graphics processing unit implementation of the maximum likelihood solution to the inverse problem for retrieval of geophysical parameters from high-resolution sounder data

Shih-Chieh Wei, Bormin Huang, Hung-Lung Huang

JARS, Vol. 8, Issue 01, 084799, (August 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.084799

KEYWORDS: Graphics processing units, Matrix multiplication, Inverse problems, Data modeling, Atmospheric modeling, Error analysis, Infrared radiation, Remote sensing, Satellites, Computing systems

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Proceedings Article | 23 October 2013 Paper

Acceleration of vertex component analysis for spectral unmixing with CUDA

Shih-Chieh Wei, Bormin Huang, Antonio Plaza

Proceedings Volume 8895, 889509 (2013) https://doi.org/10.1117/12.2031527

KEYWORDS: Neodymium, Hyperspectral imaging, Computer programming, Electroluminescence, MATLAB, Spatial resolution, Computer architecture, Image processing, Matrices, Feature extraction

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Proceedings Article | 8 November 2012 Paper

Further GPU implementation of prediction-based lower triangular transform using a zero-order entropy coder for ultraspectral sounder data compression

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 8539, 85390G (2012) https://doi.org/10.1117/12.979000

KEYWORDS: Computer programming, Data compression, Graphics processing units, MATLAB, Matrices, Linear algebra, Matrix multiplication, Data centers, Temporal resolution, Atmospheric sensing

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Proceedings Article | 19 October 2012 Paper

GPU acceleration of predictiion-based lower triangular transform for lossless compression

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 8514, 851404 (2012) https://doi.org/10.1117/12.931311

KEYWORDS: Computer programming, MATLAB, Matrices, Graphics processing units, Data compression, Computer architecture, Linear algebra, Matrix multiplication, Infrared radiation, Data storage

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Proceedings Article | 12 October 2011 Paper

A GPU-accelerated extended Kalman filter

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 8183, 818304 (2011) https://doi.org/10.1117/12.898552

KEYWORDS: Filtering (signal processing), Error analysis, Matrix multiplication, Protactinium, Data modeling, Complex systems, Systems modeling, Visualization, Computer architecture, Matrices

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Proceedings Article | 17 September 2011 Paper

Further GPU acceleration of predictive partitioned vector quantization for ultraspectral sounder data compression

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 8157, 815704 (2011) https://doi.org/10.1117/12.894390

KEYWORDS: Quantization, Neodymium, Distortion, Data compression, Data storage, Infrared radiation, Infrared imaging, Feature extraction, Visualization, Interferometers

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Proceedings Article | 24 August 2010 Paper

A GPU-based implementation of predictive partitioned vector quantization for compression of ultraspectral sounder data

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 7810, 781017 (2010) https://doi.org/10.1117/12.863275

KEYWORDS: Quantization, Distortion, Data compression, Infrared radiation, Neodymium, Visualization, Infrared imaging, Data storage, Atmospheric modeling, Interferometers

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Proceedings Article | 31 August 2009 Paper

Study of the codeword assignment for a revised Tunstall code

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 7455, 74550L (2009) https://doi.org/10.1117/12.826822

KEYWORDS: Chromium, Algorithms, Error analysis, Associative arrays, Data compression, Computer programming, Head, Infrared radiation, Satellites, Algorithm development

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Proceedings Article | 5 September 2008 Paper

Ultraspectral sounder data compression using the non-exhaustive Tunstall coding

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 7084, 708406 (2008) https://doi.org/10.1117/12.795810

KEYWORDS: Data compression, Error analysis, Forward error correction, Infrared radiation, Infrared imaging, Chromium, Atmospheric propagation, Data archive systems, Satellites, Climatology

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Proceedings Article | 5 September 2008 Paper

Vector quantization with self-resynchronizing coding for lossless compression and rebroadcast of the NASA Geostationary Imaging Fourier Transform Spectrometer (GIFTS) data

Bormin Huang, Shih-Chieh Wei, Hung-Lung Huang, William Smith, Hal Bloom

Proceedings Volume 7084, 708408 (2008) https://doi.org/10.1117/12.800914

KEYWORDS: Quantization, Satellites, Fourier transforms, Spectroscopy, Data compression, Error analysis, Neodymium, Satellite communications, Sensors, Forward error correction

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Proceedings Article | 1 October 2007 Paper

Use of independent component analysis for lossless compression of ultraspectral sounder data

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 6683, 668309 (2007) https://doi.org/10.1117/12.737606

KEYWORDS: Independent component analysis, JPEG2000, Image compression, Quantization, Infrared radiation, Data compression, Target detection, Infrared imaging, Hyperspectral imaging, Hyperspectral target detection

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Proceedings Article | 1 October 2007 Paper

Lossless data compression studies for the geostationary imaging Fourier transform spectrometer (GIFTS) with the bias-adjusted reordering preprocessing

Bormin Huang, Shih-Chieh Wei, Allen H.-L. Huang, Maciek Smuga-Otto, Robert Knuteson, Henry Revercomb, William Smith

Proceedings Volume 6683, 668306 (2007) https://doi.org/10.1117/12.740446

KEYWORDS: Data compression, Image compression, JPEG2000, Fourier transforms, Spectroscopy, Image quality standards, Computer programming, Discrete wavelet transforms, Satellites, Spectral resolution

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Proceedings Article | 20 September 2007 Paper

Ultraspectral sounder data compression using the Tunstall coding

Shih-Chieh Wei, Bormin Huang, Lingjia Gu

Proceedings Volume 6683, 66830G (2007) https://doi.org/10.1117/12.740341

KEYWORDS: Data compression, Atmospheric propagation, Infrared radiation, Infrared imaging, Error analysis, Chromium, Associative arrays, Data archive systems, Computer programming, Forward error correction

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Proceedings Article | 19 September 2007 Paper

Lossless compression of the geostationary imaging Fourier transform spectrometer (GIFTS) data via predictive partitioned vector quantization

Bormin Huang, Shih-Chieh Wei, Allen H.-L. Huang, Maciek Smuga-Otto, Robert Knuteson, Henry Revercomb, William Smith

Proceedings Volume 6683, 66830E (2007) https://doi.org/10.1117/12.740452

KEYWORDS: Quantization, Data compression, Fourier transforms, Spectroscopy, JPEG2000, Aerospace engineering, Atmospheric sciences, Satellites, Earth's atmosphere, Atmospheric sensing

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The Geostationary Imaging Fourier Transform Spectrometer (GIFTS), as part of NASA's New Millennium Program, is an advanced instrument to provide high-temporal-resolution measurements of atmospheric temperature and water vapor, which will greatly facilitate the detection of rapid atmospheric changes associated with destructive weather events, including tornadoes, severe thunderstorms, flash floods, and hurricanes. The Committee on Earth Science and Applications from Space under the National Academy of Sciences recommended that NASA and NOAA complete the fabrication, testing, and space qualification of the GIFTS instrument and that they support the international effort to launch GIFTS by 2008. Lossless data compression is critical for the overall success of the GIFTS experiment, or any other very high data rate experiment where the data is to be disseminated to the user community in real-time and archived for scientific studies and climate assessment. In general, lossless data compression is needed for high data rate hyperspectral sounding instruments such as GIFTS for (1) transmitting the data down to the ground within the bandwidth capabilities of the satellite transmitter and ground station receiving system, (2) compressing the data at the ground station for distribution to the user community (as is traditionally performed with GOES data via satellite rebroadcast), and (3) archival of the data without loss of any information content so that it can be used in scientific studies and climate assessment for many years after the date of the measurements. In this paper we study lossless compression of GIFTS data that has been collected as part of the calibration or ground based tests that were conducted in 2006. The predictive partitioned vector quantization (PPVQ) is investigated for higher lossless compression performance. PPVQ consists of linear prediction, channel partitioning and vector quantization. It yields an average compression ratio of 4.65 on the GIFTS test data, which significantly outperforms the standard compression methods such as JPEG-2000, JPEG-LS, and CCSDS IDC 9/7M & 5/3.

Proceedings Article | 1 September 2006 Paper

Ultraspectral sounder data compression using a novel marker-based error-resilient arithmetic coder

Bormin Huang, Y. Sriraja, Shih-Chieh Wei

Proceedings Volume 6300, 63000C (2006) https://doi.org/10.1117/12.682439

KEYWORDS: Data compression, Satellites, Error control coding, Tolerancing, Failure analysis, Computer programming, Error analysis, Spatial resolution, Radiative transfer, Forward error correction

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Proceedings Article | 1 September 2006 Paper

Lossless compression of 3D ultraspectral sounder data using the prediction-based lower triangular transform

Shih-Chieh Wei, Bormin Huang, Alok Ahuja

Proceedings Volume 6300, 630003 (2006) https://doi.org/10.1117/12.682440

KEYWORDS: JPEG2000, Data compression, Computer programming, Image quality standards, Infrared radiation, Image compression, Quantization, Data storage, Principal component analysis, Data communications

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Proceedings Article | 27 August 2005 Paper

Lossless compression of 3D ultraspectral sounder data using linear prediction with lattice coding

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 5889, 588909 (2005) https://doi.org/10.1117/12.618208

KEYWORDS: Computer programming, Quantization, JPEG2000, Infrared radiation, Data compression, Optical spheres, Infrared imaging, Image quality standards, Spectroscopy, Atmospheric optics

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Proceedings Article | 27 August 2005 Paper

Lossless compression of ultraspectral sounder data using an error-resilient arithmetic coder

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 5889, 58890M (2005) https://doi.org/10.1117/12.621801

KEYWORDS: Infrared radiation, Binary data, Computer programming, Failure analysis, Infrared imaging, Data compression, Data communications, Climatology, Spectroscopy, Atmospheric optics

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Proceedings Article | 14 October 2004 Paper

Lossless compression of 3D hyperspectral sounder data using the wavelet and Burrows-Wheeler transforms

Shih-Chieh Wei, Bormin Huang

Proceedings Volume 5548, (2004) https://doi.org/10.1117/12.560527

KEYWORDS: Transform theory, Wavelets, Wavelet transforms, Infrared radiation, Computer programming, Data compression, Infrared imaging, Image compression, Tolerancing, Computed tomography

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Showing 5 of 21 publications

Conference Committee Involvement (17)

High-Performance Computing in Geoscience and Remote Sensing

13 September 2018 | Berlin, Germany

High-Performance Computing in Geoscience and Remote Sensing

12 September 2017 | Warsaw, Poland

High-Performance Computing in Geoscience and Remote Sensing

28 September 2016 | Edinburgh, United Kingdom

High-Performance Computing in Remote Sensing

21 September 2015 | Toulouse, France

High-Performance Computing in Remote Sensing

22 September 2014 | Amsterdam, Netherlands

High-Performance Computing in Remote Sensing III

25 September 2013 | Dresden, Germany

Satellite Data Compression, Communications, and Processing IX

26 August 2013 | San Diego, California, United States

High-Performance Computing in Remote Sensing

26 September 2012 | Edinburgh, United Kingdom

Satellite Data Compression, Communications, and Processing VIII

12 August 2012 | San Diego, California, United States

High-Performance Computing in Remote Sensing

19 September 2011 | Prague, Czech Republic

Satellite Data Compression, Communications, and Processing VII

23 August 2011 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing VI

3 August 2010 | San Diego, California, United States

Satellite Data Compression, Communication, and Processing V

4 August 2009 | San Diego, California, United States

Satellite Data Compression, Communication, and Processing IV

10 August 2008 | San Diego, California, United States

Satellite Data Compression, Communications, and Archiving III

29 August 2007 | San Diego, California, United States

Satellite Data Compression, Communication, and Archiving II

13 August 2006 | San Diego, California, United States

Satellite Data Compression, Communications, and Archiving

31 July 2005 | San Diego, California, United States

Showing 5 of 17 Conference Committees

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