A robust registration technique for multi-sensor images

G. Zamora, M. Dickens, S. Mitra
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引用次数: 5

Abstract

This paper describes an improved technique to register multi-sensor images by segmenting the images by adaptive clustering prior to performing preprocessing and cepstrum operation to determine the translational displacement. The difficulty in registering multi sensor images lies in the fact that the images of the same scene acquired by different sensors often appear different in detailed structures. Therefore the common features existing in such images need to be identified by suitable preprocessing operations for the success of the cepstral registration technique. Experimental results demonstrate the feasibility of successful cepstral registration of SAR and electro-optic images of the same scene despite apparent noticeable differences in some embedded structures thus providing a potential powerful tool for automated registration.
多传感器图像的鲁棒配准技术
本文描述了一种改进的多传感器图像配准技术,在进行预处理和倒谱运算以确定平移位移之前,通过自适应聚类对图像进行分割。多传感器图像配准的难点在于不同传感器获取的同一场景图像在细节结构上往往存在差异。因此,为了使倒谱配准技术取得成功,需要通过适当的预处理操作来识别这些图像中存在的共同特征。实验结果表明,在某些嵌入结构存在明显差异的情况下,对同一场景的SAR图像和电光图像进行倒谱配准是可行的,从而为自动配准提供了一种潜在的强大工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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