1. Bormin Huang 1, Alok Ahuja 1, Yagneswaran Sriraja 1, Hung-Lung Huang 1, Mitchell D. Goldberg 2, Timothy J. Schmit 2, and Roger W. Heymann 2 1 Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, 2 NOAA, National Environmental Satellite, Data, and Information Service LOSSLESS COMPRESSION STUDIES OF GRATING SPECTROMETER DATA FOR NOAA GOES-R HYPERSPECTRAL ENVIRONMENTAL SUITE  To support GOES-R data compression studies for the possible grating-type HES sounder, we investigate various 2D and 3D lossless compression methods using the grating-type Atmospheric Infrared Sounder (AIRS) data.  These data compression techniques are applicable for GOES-R rebroadcast average lossless compression ratio of 3.89  We show that an average lossless compression ratio of 3.89 is achievable for NASA EOS AIRS ultraspectral sounder data 1. INTRODUCTION 6. TOWARDS HARDWARE IMPLEMENTATION FOR REAL-TIME SATELLITE REBROADCAST 3D Wavelet decomposition for ultraspectral sounder data Granule 900:53:31 UTC -12 H(Pacific Ocean, Daytime) Granule 1601:35:31 UTC +2 H(Europe, Nighttime) Granule 6005:59:31 UTC +7 H(Asia, Daytime) Granule 8208:11:31 UTC -5 H(North America, Nighttime) Granule 12011:59:31 UTC -10 H(Antarctica, Nighttime) Granule 12612:35:31 UTC -0 H(Africa, Daytime) Granule 12912:53:31 UTC -2 H(Arctic, Daytime) Granule 15115:05:31 UTC+11 H(Australia, Nighttime) Granule 18218:11:31 UTC +8 H(Asia, Nighttime) Granule 19319:17:31 UTC -7 H(North America, Daytime) 10 selected AIRS digital counts granules on March 2, 2004 5. TOWARDS ERROR RESILIENCE IN SATELLITE NOISY TRANSMISSION 7. SUMMARY 2. ULTRASPECTRAL DATA FOR LOSSLESS COMPRESSION STUDIES Average number of erroneous pixels after 3D JPEG2000 (Part 2) and 3DWT-RVLC decoding due to 1 bit random error added in different wavelet resolutions for 4 granules Each granule consists of 135 scan lines containing 90 cross-track footprints per scan line. Publicly available via anonymous ftp (ftp://ftp.ssec.wisc.edu/pub/bormin/Count) AIRS digital counts at wavenumber 800.01cm -1 for the 10 selected granules (with the 1502-channel subset) 3. CIMSS-DEVELOPED DATA PREPROCESSING SCHEME CIMSS’s Bias-Adjusted Reordering (BAR) data preprocessing scheme (Huang et al. 2004) improves the performance of state-of- the-art compression methods (2D CALIC, 2D JPEG-LS, 2D JPEG2000 (Part 1), 3D JPEG2000 (Part 2)) Texas Instruments’ TMS320C6416 DSP board  CIMSS’s BAR data preprocessing scheme significantly improves the compression ratios of such state-of-the-art compression methods as 2D JPEG2000 (Part 1), 3D JPEG2000 (Part 2), 2D CALIC, and 2D JPEG-LS  After applying the BAR preprocessing scheme, the standard state-of-the-art compression methods perform almost equally well !!  New compression methods (Lossless PCA, PPVQ, FPVQ) show better results on ultraspectral sounder data than standard compression methods, achieving average lossless compression ratio of 3.89 an average lossless compression ratio of 3.89  Newly developed 3DWT-RVLC method provides significantly better error resilience than 3D JPEG2000 (Part 2) Acknowledgement: This work is prepared in support of National Oceanic & Atmospheric Administration (NOAA) GOES-R data compression research under grant NA07EC0676. Compression ratios of 3DWT-RVLC vs. the DSP version of 3DWT-RVLC  Error contamination after JPEG2000 decoding  Error-Correcting Channel Coding Studies  Error-Resilient Source Coding Study: 3D Wavelet Reversible Variable-length Coding (3DWT- RVLC, Huang et al. 2005) has significantly better error resilience than 3D JPEG2000 (Part 2) Location of erroneous pixels after 2D JPEG2000 source decoding for 1-bit header error after channel decoding Bit error rate vs. signal-to-noise ratio after LDPC channel decoding of a JPEG2000 compressed granule A memory-limited DSP version of 3DWT-RVLC is implemented to explore feasibility of 3DWT-RVLC for real-time satellite rebroadcast processing TMS320C6416 two-level cache-based architecture LM1000 PCI board carrier cardBlock data transfer to the DSP memory Each granule is divided into 8 blocks to feed into the external memory on the DSP board Spatial scenes for 1 bit-error corruption in lowest wavelet resolution for 3D JPEG2000 (Part 2) and 3DWT-RVLC compressed granule 182 Location of erroneous pixels after 2D JPEG2000 source decoding for 1-bit nonheader error after channel decoding  Digital Video Broadcasting Second Generation Low Density Parity Check (DVB-S2 LDPC) code from Comtech AHA  It consists of BCH outer code + LDPC inner code  We investigated code rates of 9/10 and 8/9 for JPEG2000 compressed ultraspectral sounder data Lossless PCA (Huang et al. 2004) Predictive Partitioned Vector Quantization (PPVQ) (Huang et al. 2004) Fast Precomputed Vector Quantization (FPVQ) with optimal bit allocation (Huang et al. 2005) 4. CIMSS-DEVELOPED NEW LOSSLESS COMPRESSION METHODS Future work will include more DSP implementations of other compression methods