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Proceedings Paper

Digital processing of meter waveband SAR data
Author(s): Arcady V. Dzenkevich; Leonid A. Mel'nikov; Vladimir A. Volkov; Yury Krylov; Valery Manakov
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Paper Abstract

The data produced by a 2.5 m waveband SAR is processed to two phases. The first phase consists in the preliminary filtering of azimuth counts as the ADC output with their subsequent digital recording on a magnetic carrier. The preliminary processing is required to reduce the input data redundancy, while no data loss occurs and the quality of the resulting image is not degraded. The second phase is carried out on the ground with the use of a general purpose IBM PC system provided with the required software which comprises a meter waveband image synthesis program. The synthesis procedure involves a 'fast convolution' FFT algorithm. In the frequency domain the data is processed with high precision due to the floating point mode of operation. A range migration compensation algorithm forms an intrinsic part of the processing. In the meter waveband the migration value amount to dozens of range pixels at the synthetic aperture edges and the resulting image quality depends on the migration compensation accuracy. A noncoherent storage algorithm has also been developed. The processing is carried out within four partially overlapping beams; after coherent storage in every beam the noncoherent summing up of images obtained at various aspects is performed.

Paper Details

Date Published: 21 December 1994
PDF: 6 pages
Proc. SPIE 2316, SAR Data Processing for Remote Sensing, (21 December 1994); doi: 10.1117/12.197544
Show Author Affiliations
Arcady V. Dzenkevich, NPO Vega-M (Russia)
Leonid A. Mel'nikov, NPO Vega-M (Russia)
Vladimir A. Volkov, NPO Vega-M (Russia)
Yury Krylov, NPO Vega-M (Russia)
Valery Manakov, NPO Vega-M (Russia)


Published in SPIE Proceedings Vol. 2316:
SAR Data Processing for Remote Sensing
Giorgio Franceschetti, Editor(s)

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