This article presents Bayes’ theorem for wavelength-resolution synthetic aperture radar (SAR) change detection method development. Different change detection methods can be derived using Bayes’ theorem in combination with the target model, clutter-plus-noise model, iterative implementation, and noniterative implementation. As an example of the Bayes’ theorem use for wavelength-resolution SAR change detection method development, we propose a simple change detection method with a clutter-plus-noise model and noniterative implementation. In spite of simplicity, the proposed method provides a very competitive performance in terms of probability of detection and false alarm rate. The best result was a probability of detection of $\text{98.7}\%$ versus a false alarm rate of one per square kilometer.

中文翻译：

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使用贝叶斯定理的波长分辨率 SAR 变化检测

本文介绍了用于波长分辨率合成孔径雷达 (SAR) 变化检测方法开发的贝叶斯定理。使用贝叶斯定理结合目标模型、杂波加噪声模型、迭代实现和非迭代实现，可以推导出不同的变化检测方法。作为将贝叶斯定理用于波长分辨率 SAR 变化检测方法开发的示例，我们提出了一种具有杂波加噪声模型和非迭代实现的简单变化检测方法。尽管很简单，但所提出的方法在检测概率和误报率方面提供了非常有竞争力的性能。最好的结果是检测到 $\text{98.7}\%$ 的概率与每平方公里一个的误报率。