基于Fourier-Mellin变换和双谱的卫星图像旋转、尺度和平移不变自动目标识别

A. Erturk, Aydin Alatan, T. Çiloglu
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引用次数: 2

摘要

本文采用模板匹配的方法实现了卫星图像目标的自动识别。利用三种方法对模板匹配的旋转不变性、缩放不变性和平移不变性进行了性能比较。这些方法直接利用傅里叶-梅林变换、基于傅里叶变换、对数极映射和相位相关的重建方法以及基于双谱、对数极映射和相位相关的重建方法。基于重构的方法获得了可接受的性能率。我们还观察到,使用双谱的方法具有最高性能率的潜力,但它可能遭受切片常数选择的缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rotation, scale and translation invariant automatic target recognition based on Fourier-Mellin transform and bispectrum for satellite imagery
Automatic target recognition for satellite imagery is approached in this study by using template matching. Three methods are exploited for rotation, scale and translation invariance of template matching and compared in performance. These methods utilize Fourier-Mellin transform directly, a reconstruction-based method via Fourier transform, log-polar mapping and phase correlation and finally, a reconstruction-based method by using bispectrum, log-polar log-polar mapping and phase correlation. Acceptable performance rates are obtained for the reconstruction-based methods. It is also observed that the method using bispectrum has the potential for highest performance rates, while it can suffer from the drawback of slice constant selection.
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