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首页> 外文期刊>International journal of remote sensing >Matching conjugate points between multi-resolution satellite images using geometric and radiometric properties
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Matching conjugate points between multi-resolution satellite images using geometric and radiometric properties

机译：使用几何和辐射特性匹配多分辨率卫星图像之间的共轭点

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摘要

Remotely sensed images are the main source for a variety of mapping and change-detection applications. Images from different satellites are employed in several of these applications. However, each type of these images has a different resolution and orientation. Hence, they need to be co-registered before any meaningful use. The first step in the registration process is to find conjugate points between the images. This paper presents a modified method of the Scott and Longuet-Higgins approach to find conjugate points between different remotely sensed images. In such an algorithm, initially, corner points are automatically extracted in two images, and for each pair of points, a cost value is computed. The cost of corresponding any two points is computed using two-dimensional transformation models and pixel intensities. The cost values are then used to fill a cost matrix, and its singular value decomposition is used to find corresponding points. The algorithm is tested on three pairs of satellite images with different resolutions and orientations. The results show that the approach presented here succeeded in finding 93% of conjugate points between different pairs of satellite images using only the image coordinates through the eight-parameter transformation model. Moreover, the results show that including the image intensities in the matching procedure does change the results significantly.
机译：遥感图像是各种地图绘制和变化检测应用程序的主要来源。这些应用中的几种应用了来自不同卫星的图像。但是，这些图像的每种类型都有不同的分辨率和方向。因此，在进行任何有意义的使用之前，需要对其进行共同注册。配准过程的第一步是找到图像之间的共轭点。本文提出了一种改进的Scott和Longuet-Higgins方法的方法，可以找到不同遥感图像之间的共轭点。在这种算法中，首先，在两个图像中自动提取角点，并针对每对点计算成本值。使用二维转换模型和像素强度计算对应于任意两个点的成本。然后，将成本值用于填充成本矩阵，并使用其奇异值分解来找到对应的点。该算法在三对具有不同分辨率和方向的卫星图像上进行了测试。结果表明，此处提出的方法仅通过八参数变换模型使用图像坐标即可成功找到不同对卫星图像对之间93％的共轭点。而且，结果表明在匹配过程中包括图像强度确实会显着改变结果。

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  • 来源
    《International journal of remote sensing》 |2011年第8期|p.2117-2129|共13页
  • 作者

    AHMED F. ELAKSHER; ABDULLATIF ALHARTHY;

  • 作者单位

    Land Surveying/Mapping Science Program, St Cloud State University, St Cloud, MN 56301, USA;

    GIS Center at Jeddah Municipality, Jeddah, Kingdom of Saudi Arabia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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