Details
Originalsprache | Englisch |
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Seiten | 17-19 |
Seitenumfang | 3 |
Publikationsstatus | Veröffentlicht - 1999 |
Veranstaltung | 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Deutschland Dauer: 28 Juni 1999 → 2 Juli 1999 |
Konferenz
Konferenz | 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' |
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Land/Gebiet | Deutschland |
Ort | Hamburg |
Zeitraum | 28 Juni 1999 → 2 Juli 1999 |
Abstract
Modern SAR applications have a large amount of needed processing power. Most of the currently available architectures lack of flexibility or performance. In this paper a new parallel and programmable architecture for image processing applications is described. The presented HiPAR-DSP is able to serve the requested demands, like providing the high performance as a dedicated architecture and still having the flexibility of a full programmable processor. The implementation of the Range Compression shows a real-time capability of processing up to 1500 rangelines with 4096 complex samples with the HiPAR-DSP.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
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1999. 17-19 Beitrag in 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Deutschland.
Publikation: Konferenzbeitrag › Paper › Forschung › Peer-Review
}
TY - CONF
T1 - High performance digital signal processor for compact realization of real-time synthetic aperture radar systems
AU - Kloos, H.
AU - Wittenburg, J. P.
AU - Hinrichs, W.
AU - Lieske, H.
AU - Pirsch, P.
PY - 1999
Y1 - 1999
N2 - Modern SAR applications have a large amount of needed processing power. Most of the currently available architectures lack of flexibility or performance. In this paper a new parallel and programmable architecture for image processing applications is described. The presented HiPAR-DSP is able to serve the requested demands, like providing the high performance as a dedicated architecture and still having the flexibility of a full programmable processor. The implementation of the Range Compression shows a real-time capability of processing up to 1500 rangelines with 4096 complex samples with the HiPAR-DSP.
AB - Modern SAR applications have a large amount of needed processing power. Most of the currently available architectures lack of flexibility or performance. In this paper a new parallel and programmable architecture for image processing applications is described. The presented HiPAR-DSP is able to serve the requested demands, like providing the high performance as a dedicated architecture and still having the flexibility of a full programmable processor. The implementation of the Range Compression shows a real-time capability of processing up to 1500 rangelines with 4096 complex samples with the HiPAR-DSP.
UR - http://www.scopus.com/inward/record.url?scp=0033346330&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0033346330
SP - 17
EP - 19
T2 - 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
Y2 - 28 June 1999 through 2 July 1999
ER -