Proposal for infrared atmospheric sounding interferometer on-board data compression
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 b...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:144562 |
| Acceso en línea: | https://ddd.uab.cat/record/144562 https://dx.doi.org/urn:doi:10.1117/1.JRS.9.097498 |
| Access Level: | acceso abierto |
| Palabra clave: | Remote sensing compression Lossless data coding Predictive coding Entropy analysis Multi- and hyperspectral imagery CCSDS 123 |
| Sumario: | 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. |
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