Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: On-board Data Processing to Lower Bandwidth Requirements on an Infrared Astronomy Satellite: Case of Herschel-PACS Camera | EURASIP Journal on Applied Signal Processing 2005 15 2585-2594 2005 Hindawi Publishing Corporation On-board Data Processing to Lower Bandwidth Requirements on an Infrared Astronomy Satellite Case of Herschel-PACS Camera Ahmed Nabil Belbachir Pattern Recognition and Image Processing Group Vienna University of Technology Favoritenstrasse 9 1832 1040 Vienna Austria Email nabil@ Horst Bischof Institute for Computer Graphics and Vision Technical University of Graz Inffeldgasse 16 II 8010 Graz Austria Email bischof@ Roland Ottensamer Institut fur Astronomie UniversitatWien Turkenschanzstrasse 17 1180 Vienna Austria Email ottensamer@ Franz Kerschbaum Institut fur Astronomie UniversitatWien Turkenschanzstrasse 17 1180 Vienna Austria Email kerschbaum@ Christian Reimers Institut fur Astronomie UniversitatWien Turkenschanzstrasse 17 1180 Vienna Austria Email reimers@ Received 31 May 2004 Revised 1 March 2005 This paper presents a new data compression concept on-board processing for infrared astronomy where space observatories have limited processing resources. The proposed approach has been developed and tested for the PACS camera from the European Space Agency ESA mission Herschel. Using lossy and lossless compression the presented method offers high compression ratio with a minimal loss of potentially useful scientific data. It also provides higher signal-to-noise ratio than that for standard compression techniques. Furthermore the proposed approach presents low algorithmic complexity such that it is implementable on the resource-limited hardware. The various modules of the data compression concept are discussed in detail. Keywords and phrases Herschel PACS on-board processing infrared astronomy compression. 1. INTRODUCTION Infrared IR astronomy requires dedicated data compression for economical storage and transmission of the large data volume regarding the limited budget and resources
