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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Absolute position estimation using IRS satellite images
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Absolute position estimation using IRS satellite images

机译:使用IRS卫星图像的绝对位置估计

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摘要

This paper presents an absolute position estimation method using an Indian remote sensing (IRS) satellite images, which is a part of a position estimation system. The accumulated buffer (AB) matching method is proposed, in which a set of accumulator cells is employed for a fast edge-based matching between IRS satellite images and aerial images. The proposed algorithm is based on the accumulated buffer, which is a set of accumulator cells employed in the Hough transform widely used for robust detection of lines or curves. Thanks to the inherent robustness of the proposed algorithm, accurate registration can be accomplished between totally different image modalities. By computer simulations with two sets of real aerial image sequences, the performance of the AB matching method is analyzed and its effectiveness is shown in terms of the position error in the hybrid position estimation system. We found that the proposed AB matching method significantly reduces the average position error produced by the relative position estimation in the hybrid position estimation system.
机译:本文提出了一种使用印度遥感(IRS)卫星图像的绝对位置估计方法,该方法是位置估计系统的一部分。提出了一种累加缓冲区匹配方法,该方法采用一组累加器单元进行IRS卫星图像和航拍图像之间基于边缘的快速匹配。所提出的算法基于累积缓冲区,该缓冲区是在Hough变换中采用的一组累加单元,广泛用于线或曲线的鲁棒检测。由于所提出算法的固有鲁棒性,可以在完全不同的图像模态之间实现精确配准。通过使用两组真实的航空影像序列进行计算机仿真,分析了AB匹配方法的性能,并根据混合位置估计系统中的位置误差显示了其有效性。我们发现,提出的AB匹配方法显着降低了混合位置估计系统中由相对位置估计产生的平均位置误差。

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