article · 2005

DLR's SAR Processor Development An Interim Report

A. Popella, B. Schuttler, J. Siewerth, U. Tretter, W. Noack

Cited by 1Abstract and details only

Abstract

This paper describes DLR’s prototype implementation of the well known Range-Doppler algorithm onto a distributed hardware system, consisting of a UNIX-workstation as server, an array processor and a large semiconductor memory. Bearing in mind the problems in implementing software on distributed hardware and furthermore, the ideas of modem software engineering in terms of software reusability, maintainability etc., Ada was chosen as the implementation language. Based upon simulation results (which are also presented), the kemel SAR processor layout has been fixed in view of the generation of a three-look ERS-1 image product. To prove the processor functions and to evaluate the processor quality, a SEASAT scene was used as a first, real test example. The processor prototype, written in Ada, and the achieved results are presented.

Cite this paper

APA 7

Popella, A., Schuttler, B., Siewerth, J., Tretter, U., & Noack, W. (2005). DLR's SAR Processor Development An Interim Report. https://doi.org/10.1109/igarss.1990.688922

MLA 9

Popella, A., et al. “DLR's SAR Processor Development An Interim Report.” vol. 7, 2005, pp. 2013–19, https://doi.org/10.1109/igarss.1990.688922.

Chicago

Popella, A., B. Schuttler, J. Siewerth, U. Tretter, and W. Noack. 2005. “DLR's SAR Processor Development An Interim Report.” https://doi.org/10.1109/igarss.1990.688922.

Harvard

Popella, A. et al. (2005) ‘DLR's SAR Processor Development An Interim Report’. Available at: https://doi.org/10.1109/igarss.1990.688922.

BibTeX

@article{popella2005processor,
  title = {{DLR's SAR Processor Development An Interim Report}},
  author = {Popella, A. and Schuttler, B. and Siewerth, J. and Tretter, U. and Noack, W.},
  volume = {7},
  pages = {2013--2019},
  year = {2005},
  doi = {10.1109/igarss.1990.688922}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.