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The Emerging Issue-3 Revision of the Ccsds-123.0-B Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard The CCSDS-123.0-B Low-Complexity Lossless and Near-Lossless Multispectral & Hyperspectral Image Compression standard provides state-of-the-art compression for imaging spectrometer data. Issue 1 of this standard, published in 2012, provides only lossless compression capability. In 2019, Issue 2 was published, adding new features and in particular augmenting the compressor to provide also near-lossless compression, i.e., compression with a user-specified error limit in each spectral band. This presentation will describe the Issue 3 revision currently under development by the CCSDS Data Compression working group. This revision will provide region-of-interest compression capability. That is, a user-provided spatial classification map can be used to specify different data fidelity parameters in different image regions. This would, for example, allow an onboard classification algorithm to identify the most important regions of an image, or regions obscured by clouds, and adjust compression fidelity accordingly in each region to maximize value of imaging spectrometer data returned over constrained space communication links. The revision also aims to add an option that is unrelated to region-of-interest compression but can improve compression effectiveness in some cases.
Document ID
20240012764
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Aaron Kiely
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
Mickael Bruno
(Centre National d'Études Spatiales Paris, France)
Aniello Fiengo
(European Space Agency Madrid, Spain)
Miguel Hernandez-Cabronero
(Universitat Autònoma de Barcelona Cerdanyola del Vallès, Spain)
Didier Keymeulen
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
Matthew Klimesh
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
Lucana Santos
(European Space Agency Madrid, Spain)
Englin Wong
(Goddard Space Flight Center Greenbelt, United States)
Date Acquired
October 4, 2024
Publication Date
November 15, 2024
Publication Information
Publication: OBPDC 2024 - 9th International Workshop on On-Board Payload Data Compression
Publisher: On-Board Payload Data Compression (OBPDC)
URL: https://atpi.eventsair.com/workshop-on-on-board-payload-data-compression-obpdc
Subject Category
Space Processing
Computer Programming and Software
Meeting Information
Meeting: 9th International Workshop on On-Board Payload Data Compression
Location: Las Palmas de Gran Canaria
Country: ES
Start Date: October 2, 2024
End Date: October 4, 2024
Sponsors: Centre National d'Études Spatiales, European Space Agency
Funding Number(s)
WBS: 439432.07.03.04.01
PROJECT: PID2021-125258OB-I00
PROJECT: SGR2021-00643
PROJECT: DTN/TVO/ET/2024-01059
CONTRACT_GRANT: 80NM0018D0004
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
CCSDS Hyperspectral
Multispectral Data Compression
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