Registration of multi-sensor images based on enhanced STAR algorithm

Bin Li, Xinyan Wang, Haijing Yang
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引用次数: 6

Abstract

Registration of multi-sensor images is an important part of image fusion. Because of the gray difference existing in multi-sensor image pairs, the registration problem of multi-sensor image is much difficult than that of single-sensor images. The existing STAR algorithm is appropriate for affine multi-sensor images, but is only applicable to images containing plenty of line segment features, because it is based on the extraction of line segments. Considering that the contour feature is more common than line segment feature in images, an enhanced STAR algorithm, called ESTAR, is presented according to contour extraction to overcome the limitation of the STAR algorithm in this paper.
基于增强STAR算法的多传感器图像配准
多传感器图像的配准是图像融合的重要组成部分。由于多传感器图像对存在灰度差,多传感器图像的配准问题比单传感器图像的配准问题要困难得多。现有的STAR算法适用于仿射多传感器图像,但由于其基于线段的提取,因此仅适用于包含大量线段特征的图像。考虑到图像中轮廓特征比线段特征更为常见,本文根据轮廓提取的特点,提出了一种增强的STAR算法,即ESTAR算法,以克服STAR算法的局限性。
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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