基于鲁棒复小波特征表示的带间和传感器间图像自动配准

A. Wong, David A Clausi
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引用次数: 5

摘要

设计并实现了一种鲁棒的带间和传感器间遥感图像配准方法。该方法引入了基于鲁棒复小波特征表示的抗噪声和对比度不变控制点检测和控制点匹配方案。在此基础上,提出了一种改进的控制点对定位和配准图像间映射函数估计的迭代优化方案。通过对多光谱光学图像和合成孔径雷达(SAR)图像的配准,验证了该方法的配准精度。与现有的MSSD和ARRSI配准算法相比,该方法具有更好的配准精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic registration of inter-band and inter-sensor images using robust complex wavelet feature representations
A robust method for registering inter-band and inter-sensor remote sensing images has been designed and implemented. The proposed method introduces noise-resilient and contrast invariant control point detection and control point matching schemes based on robust complex wavelet feature representations. Furthermore, an iterative refinement scheme is introduced for achieving improved control point pair localization and mapping function estimation between the images being registered. The registration accuracy of the proposed method was demonstrated on the registration of multi-spectral optical and synthetic aperture radar (SAR) images. The proposed method achieves better registration accuracy when compared with the state-of-the-art MSSD and ARRSI registration algorithms.
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