解决一个大数据问题。单视复杂SAR图像去噪模拟器

2017 International Symposium on Signals, Circuits and Systems (ISSCS) Pub Date : 2017-07-01 DOI:10.1109/ISSCS.2017.8034865

C. Nafornita, A. Isar, Norbert Matanie, Cristian Caba

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引用次数: 1

摘要

在此，我们提出了一个解决卫星图像处理背景下的大数据问题的方案。采用分块处理和基于小波域Hurst参数估计的方法，设计了Sentinel 1 SAR单目复杂图像去噪模拟器。我们将该方法与传统的去噪滤波器进行了比较。

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Solution of a big data problem. Simulator for denoising of Single Look Complex SAR images

We here present a solution to solve a big data problem in the context of satellite image processing. We conceived a simulator for denoising Sentinel 1 SAR Single Look Complex images, by using block processing together with a method based on the Hurst parameter estimation in the wavelet domain. We compare our method with traditional denoising filters.

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2017 International Symposium on Signals, Circuits and Systems (ISSCS)

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