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Proposal for infrared atmospheric sounding interferometer on-board data compression
García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Albinet, Mathieu (Centre national d'études spatiales (França))
Camarero, Roberto (Centre national d'études spatiales (França))
Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Data: 2015
Resum: The Infrared Atmospheric Sounding Interferometer (IASI) system provides infrared soundings of moisture and temperature profiles, as well as soundings of chemical components. These measurements play a key role in atmospheric chemistry, global change and climate monitoring. The instrument, developed by a cooperating agreement between EUMETSAT and CNES, is implemented on the Metop satellite series. The instrument data production rate is 45 Megabits/s while the transmission rate allocated to IASI measurements is 1. 5 Megabits/s. It is thus necessary to implement a significant part of the IASI data processing on board the instrument. In this paper we investigate the information statistics of IASI L0 data once the on-board processing chain is finished. We analyze order-0 entropy, and order-1, order-2 and order-3 conditional entropies, where conditional entropies assess both the spectral and the spatial joint information. According to the simple order-0 entropy, at least one bit per sample could be spared if a variable-length code were employed. We also investigate the actual performance of different lossless compression techniques on IASI L0 data. The CCSDS-123, JPEG-LS and JPEG2000 standards, as well as M-CALIC coding technique are evaluated. Experimental results reveal that IASI Level 0 data can be coded by a compression ratio above 2. 6:1.
Nota: Número d'acord de subvenció MINECO/TIN2012-38102-C03-03
Nota: Número d'acord de subvenció AGAUR/2014/SGR-691
Drets: Tots els drets reservats
Llengua: Anglès
Document: article ; recerca ; publishedVersion
Matèria: Remote sensing compression ; Lossless data coding ; Predictive coding ; Entropy analysis, ; Multi- and hyperspectral imagery ; CCSDS 123
Publicat a: Journal of applied remote sensing, Vol. 9 Núm. 1 (May 2015) , 097498, ISSN 1931-3195

DOI: 10.1117/1.JRS.9.097498

13 p, 707.8 KB

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