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Sonar Image Registration Based on Improved PSO and Powell Hybrid Algorithm

机译:基于改进的PSO和Powell混合算法的声纳图像配准

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In order to further improve the accuracy of the sonar image registration, a novel hybrid algorithm was proposed. It proposed the normalized mutual information as similar estimation, drawn on multi-resolution data structure based on wavelet transform, a low precision solution was solved by improved PSO algorithm, which has strong global search capability, firstly and then a high precision solution was acquired by Powell method, which has strong local search capability. The hybrid algorithm is effective to overcome the fall of local maximum mutual information function;;it also improves solution's precision. Since the hybrid algorithm is the initial point of pre-treatment, an effective solution to the Powell method dependence on the initial point. Experiments reveal that the hybrid algorithm is efficiency and effectiveness.
机译:为了进一步提高声纳图像配准的准确性,提出了一种新的混合算法。它提出了标准化的互信息作为基于小波变换的多分辨率数据结构绘制的类似估计,通过改进的PSO算法解决了低精度解决方案,其具有强大的全球搜索能力,首先是通过高精度解决方案Powell方法,具有强大的本地搜索能力。混合算法有效地克服了局部最大相互信息功能的下降;它还提高了解决方案的精度。由于混合算法是预处理的初始点,因此对鲍威尔方法的有效解决方案依赖于初始点。实验表明,混合算法是效率和有效性。

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