Abstract
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.
Highlights
Infrared (IR) astronomy requires dedicated data compression for economical storage and transmission of the large data volume regarding the limited budget and resources available for space missions [1, 2]
This paper presents a new data compression concept, “on-board processing,” for infrared astronomy, where space observatories have limited processing resources
The on-board processing concept is evaluated on a theoretical basis and on NGC1808 IR image from the infrared space observatory (ISO) mission
Summary
Infrared (IR) astronomy requires dedicated data compression for economical storage and transmission of the large data volume regarding the limited budget and resources available for space missions [1, 2]. This is most demanding for space observatories where images are generated in different domains with higher resolution and larger dimensions. In [8], the listed methods involve filtering of information, which is not considered to be of use, by means of object recognition methods that face the background estimation problem to guarantee not to destroy information This lessens the interpretability of the results and limits the extension of the method to nonimage data structures.
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