A New High-Level Reconfigurable Lossless Image Compression System for Space Applications

On board image data compression is an important feature of satellite remote sensing payloads. Reconfigurable intellectual property (IP) cores can enable change of functionality or modifications. A new and efficient lossless image compression scheme for space applications is proposed. In this paper, we present a lossless image compression IP core designed using AccelDSP, which gives users high level of flexibility. One typical configuration is implemented and tested on an FPGA prototyping board. Finally, it is integrated successfully into a system-on-chip platform for payload data processing and control.

[1]  Martin Sweeting,et al.  System-on-a-Chip Development for Small Satellite Onboard Data Handling , 2004, J. Aerosp. Comput. Inf. Commun..

[2]  Xiaofeng Wu,et al.  On-Board Partial Run-Time Reconfiguration for Pico-Satellite Constellations , 2006, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06).

[3]  André Ribes,et al.  Overview and general principles of source coding, channel coding & modulation in CCSDS and DVB-S standards , 2002, 2002 11th European Signal Processing Conference.

[4]  Philip James-Roxby,et al.  A Self-reconfiguring Platform , 2003, FPL.

[5]  Guoxia Yu,et al.  A New Automatic On-Board Multispectral Image Compression System for Leo Earth Observation Satellites , 2007, 2007 15th International Conference on Digital Signal Processing.

[6]  Guoxia Yu,et al.  Autonomous Band Registration for On-Board Applications , 2007, 2007 IEEE International Conference on Signal Processing and Communications.

[7]  Nasir D. Memon,et al.  Context-based, adaptive, lossless image coding , 1997, IEEE Trans. Commun..

[8]  Tanya Vladimirova,et al.  A New Lossless Compression Method for Small Satellite On-Board Imaging , .

[9]  Philippe Armbruster,et al.  CCSDS Data Compression Recommendation: Development and Status , 2002, SPIE Optics + Photonics.

[10]  T. Vladimirova,et al.  On-Board Compression of Multispectral Images for Small Satellites , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[11]  PenShu Yeh Implementation of CCSDS Lossless Data Compression for Space and Data Archive Applications , 2002 .