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Name of Group

5.03 Data Compression Working Group

Area

Space Link Services Area (SLS)

Chairperson

Englin (Mark) Wong

Chairperson E-Mail Address

mark.wong@nasa.gov

Chairperson Agency

NASA

Deputy Chairperson

Deputy Chairperson E-Mail Address

Deputy Chairperson Agency

Mailing List

sls-dc@mailman.ccsds.org

Scope of Activity

Rationale for Activity

Future space missions will make increasing use of multispectral and hyperspectral imagers and other instruments, that significantly increase the volume of data to be collected and transmitted to the ground. Cooperative mission scenarios exist where cross-support is needed for handling the resulting increased data volume. Industry, principal investigators, instrument developers, etc., will welcome international standards for compression of these data types to meet the unique requirements of space missions and provide state-of-the-art performance levels.

Implementation constraints severely limit the complexity of on-board processing. Existing standard approaches to compression of multispectral and hyperspectral data (e.g., JP3D, an existing 3D extension to the JPEG2000 standard) have high implementation complexity as they have not been optimized with respect to performance-complexity tradeoff for space applications. Current CCSDS data compression recommendations 121.0-B-1 and 122.0-B-1 have lower complexity and can be applied to multi- and hyperspectral data, but offer substantially less effective compression than modern compression algorithms designed specifically for multi- and hyperspectral image data. Therefore, it is the consensus of the participating agencies that the development of new recommendations for compression of multispectral and hyperspectral image data and other data types is necessary together with regular "maintenance" of existing books.

The Working Group goals shall be achieved by updating the existing set of Data Compression Books by either modifying existing books or creating new books as required and described in the WG Projects.

Goals

The goals of the Multispectral and Hyperspectral Data Compression Working Group are to:

1. Finalize selection criteria and requirements matrix for compression standard(s) for lossless and lossy compression of multispectral and hyperspectral imager data.  Criterion will include implementation complexity as well as quantitative quality criteria to evaluate lossy compression effectiveness.

2. Establish a set of test data (including, when available, ground truth data for a relevant application) for testing and evaluation of candidate compression algorithms.

3. Evaluate candidate algorithms using the selection criteria established and considering the needs of the CCSDS member agencies.

4. Develop a recommendation together with supporting information (simulation software, test data sets, and Green Book).

5. Develop Recommended Standard for Compression of Housekeeping Data.

6. Develop Recommended Standard for Compression of Synthetic Aperture Radar (SAR) Data.

Survey of Similar Standards Efforts Undertaken in
Other Bodies and elsewhere in CCSDS

Patent Licensing Applicability for Future Standards

See individual projects.
 

Technical Risk Mitigation Strategy

There is a possibility that no single algorithm will suit all of the agency needs given the diversity of sensors and mission constraints.

Management Risk Mitigation Strategy

The resource commitments significantly leverage previous and ongoing data compression work efforts.  However, increased resource commitments will likely be necessary in future years for timely completion of a recommendation.
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 Approved Projects

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Currently 14 Projects     
Document Type
Project Status
Project Phase
Modified By
Lossless Data Compression (Issue 4)GreenOn ScheduleCMC ApprovalMark Wong 
Robust Compression of Fixed-Length Housekeeping Data Packets - Summary of concept and rationaleGreenBehind ScheduleFirst draft circulated to WGMark Wong 
Compression of Raw Synthetic Aperture Radar DataBlueOn ScheduleFirst draft comments dueMark Wong 
Lossless Multispectral & Hyperspectral Image CompressionBlueAll Tasks CompletedProject CompletedCCSDS Tech Support 
Lossless Multispectral & Hyperspectral Image CompressionGreenAll Tasks CompletedProject CompletedCCSDS Tech Support 
Lossless Data Compression, Issue 2BlueAll Tasks CompletedProject CompletedCCSDS Tech Support 
Image Data Compression, Issue 2BlueAll Tasks CompletedProject CompletedBrian Oliver 
Spectral Pre-Processing Transform for Multispectral & Hyperspectral Image CompressionBlueAll Tasks CompletedProject CompletedBrian Oliver 
Low-Complexity Lossless & Near-Lossless Multispectral & Hyperspectral Image Compression, Issue 2BlueOn ScheduleProject CompletedBrian Oliver 
Spectral Pre-Processing Transform for Multispectral & Hyperspectral Image CompressionGreenOn ScheduleProject CompletedBrian Oliver 
Lossless Data Compression (Issue 3)BlueAll Tasks CompletedProject CompletedBrian Oliver 
Low-Complexity Lossless & Near-Lossless Multispectral & Hyperspectral Image Compression, Issue 2GreenOn ScheduleSecretariat Document ProcessingMark Wong 
Robust Compression of Fixed-Length Housekeeping DataBlueOn ScheduleSecretariat Document ProcessingMark Wong 
Image Data Compression - Issue 3GreenOn ScheduleSecretariat Document ProcessingMark Wong