Satellite and Aerial Image Mosaicing - A Comparative Insight

S. Ait-Aoudia, R. Mahiou, Hamza Djebli, Elhachemi Guerrout
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引用次数: 18

Abstract

Image registration or image stitching is a central operation in many useful and important tasks in image processing like maps construction, scanning large documents and panoramic photos creation. In particular image mosaicing is used to assemble several overlapping images in order to constitute the global frame. We will focus on a feature-point matching method to perform the mosaicing. The SIFT algorithm is used to extract the feature points in both images. The mosaicing result is obtained after transforming the sensed or target image to align to the reference image. Performing a mosaicing operation is not sufficient to claim reaching the goal. Objective metrics must be used to evaluate the resulting mosaic. In this paper we present a complete mosaicing system named EsiReg and give a brief comparative insight on results of stitching satellite and aerial images using well known performance metrics.
卫星和航空图像拼接-一个比较的见解
图像配准或图像拼接是图像处理中许多有用和重要任务的核心操作,如地图构建,扫描大型文档和全景照片创建。其中,图像拼接是将多个重叠的图像拼接在一起构成全局帧。我们将重点讨论一种特征点匹配方法来进行拼接。使用SIFT算法提取两幅图像中的特征点。将被测图像或目标图像进行变换,使其与参考图像对齐,从而得到拼接结果。执行拼接操作并不足以声称达到了目标。必须使用客观的度量来评估结果的拼接。在本文中,我们提出了一个名为EsiReg的完整拼接系统,并对使用众所周知的性能指标拼接卫星和航空图像的结果进行了简要的比较。
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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