Paper
20 November 1998 Comparison of SAR processing SPECAN techniques for efficient ScanSAR image generation
Ana Vidal-Pantaleoni, Miguel Ferrando
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Abstract
Recently developed Scanning Synthetic Aperture Radar (ScanSAR) instruments require new algorithms for the processing stages because the classical approaches to SAR image generation are not well suited to ScanSAR data. Therefore, other techniques must be investigated. Spectral Analysis (SPECAN) is an efficient implementation of chirp de-correlation and it is specially well adapted to ScanSAR bursts of data. It consists of deramping and a spectral analysis stage that can be implemented by several techniques. One of them is Fast Fourier Transform (FFT) that is very efficient but presents some drawbacks concerning pixel spacing. A recently proposed method is the Chirp Z-Transform (CZT) SPECAN that obtains spectrum information at arbitrary positions. CZT can be efficiently implemented by FFTs and mixing operations and it provides the desired flexibility to the user. The main contribution of this study is the analysis of SPECAN techniques for processing ScanSAR data by comparing spectral estimation methods and new multilook strategies. The new CZT-SPECAN technique is compared with the classical SPECAN approach showing its advantages avoiding interpolation steps. The new multilook strategy implemented by SPECAN also reduces the scalloping effect. The results show that the new method is very promising for obtaining fast and simple ScanSAR image generation.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ana Vidal-Pantaleoni and Miguel Ferrando "Comparison of SAR processing SPECAN techniques for efficient ScanSAR image generation", Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); https://doi.org/10.1117/12.331360
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Cited by 4 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Image processing

Algorithm development

Fourier transforms

Spectral data processing

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