Details
| Original language | English |
|---|---|
| Pages | 17-19 |
| Number of pages | 3 |
| Publication status | Published - 1999 |
| Event | 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Germany Duration: 28 Jun 1999 → 2 Jul 1999 |
Conference
| Conference | 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' |
|---|---|
| Country/Territory | Germany |
| City | Hamburg |
| Period | 28 Jun 1999 → 2 Jul 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 subject areas
- Computer Science(all)
- Computer Science Applications
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
1999. 17-19 Paper presented at 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Germany.
Research output: Contribution to conference › Paper › Research › 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 -