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- W2081715432 abstract "ABSTRACT This paper is intended to compare compression algorithms suitable for Synthetic Aperture Radar (SAR) raw data. BAQ, BFPQand BFPQ combined with Vector Quantisation have been applied to simulated and actual ERS-1 raw data with output datarates of2 and 3 bits per sample.The simulated raw data are generated from a terrain scenario @oint target and uniform areas of sigma 0) scanned by a SARsimulator set to ERS-1 parameters. The measurements performed on raw data consist of histograms, signal to digital noiseratios and quadratic phase errors. The effects of compression on the resulting SAR processed images are assessed by measuring the impulse response parameters, the radiometric degradation and by displaying difference images.Eventually, the performances reached on simulated and actual data are discussed and compared.1 .INTRODUCTIONA Synthetic Aperture Radar (SAR) transmits pulses (chirp) and receives echos from the ground while moving forward. Thereceived analogue signal is translated from Radio Frequency (RF) to Intermediate Frequency (IF), demodulated to baseband I" @default.
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- W2081715432 date "1995-11-21" @default.
- W2081715432 modified "2023-10-05" @default.
- W2081715432 title "<title>Raw data compression for synthetic aperture radar</title>" @default.
- W2081715432 doi "https://doi.org/10.1117/12.227162" @default.
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