Parallel programming in SAR imaging processing

Author

Jiang, Xu ; Minhui, Zhu ; Yirong, Wu ; Hailiang, Peng

Author_Institution

Inst. of Electron., Acad. Sinica, Beijing, China

Volume

1

fYear

1999

fDate

1999

Firstpage

567

Abstract

Synthetic aperture radar (SAR) imaging processing is a complex operation that requires a large amount of floating point computations. It is very time-consuming to convert SAR raw data into imagery on microcomputers. The authors have successively developed SAR processors using two kinds of computers-JN3AR of distributed memory multiprocessor architecture (made in China), and SGI Origin 200 of scalable shared memory multiprocessor architecture. The SAR imaging efficiency has been greatly improved

Keywords

distributed memory systems; parallel programming; radar computing; radar imaging; shared memory systems; synthetic aperture radar; JN3AR; SAR imaging processing; SAR raw data; SGI Origin 200; distributed memory multiprocessor architecture; floating point computations; imaging efficiency; parallel programming; scalable shared memory multiprocessor architecture; synthetic aperture radar; Azimuth; Chirp; Computer architecture; Filtering; Flowcharts; Memory architecture; Parallel programming; Parameter estimation; Radar polarimetry; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.773567

Filename

773567