A computation compression technique for SAR based on vector quantization

Proceedings of the 1988 IEEE National Radar Conference Pub Date : 1988-04-20 DOI:10.1109/NRC.1988.10944

C. Read, D. Arnold, D. M. Chabries, R. Christiansen

引用次数: 7

Abstract

A technique for data compression of synthetic-aperture radar (SAR) imagery using vector quantization (VQ) is described that provides a reduction in processing requirements for SAR focusing over traditional fast Fourier transform (FFT) implementations. The computation compression technique (CCT) used is a method of trading computations for memory. By using larger memories, the amount of computation time required to implement a function can be reduced. Results show approximately a three-fold speedup over FFT implementations using an HP 350 processor. It is noted that the CCT is much more easily parallelized than the FFT approach, which can further reduce computation times.<>

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基于矢量量化的SAR计算压缩技术

本文描述了一种利用矢量量化(VQ)对合成孔径雷达(SAR)图像进行数据压缩的技术，该技术比传统的快速傅立叶变换(FFT)实现减少了SAR聚焦的处理要求。计算压缩技术(CCT)是一种用计算量换取内存的方法。通过使用更大的内存，可以减少实现一个函数所需的计算时间。结果显示，与使用HP 350处理器的FFT实现相比，大约有三倍的加速。值得注意的是，CCT比FFT方法更容易并行化，这可以进一步减少计算时间

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the 1988 IEEE National Radar Conference

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