首页> 外文会议>Image Processing, 2001. Proceedings. 2001 International Conference on >Pixel and sub-pixel accuracy in satellite image georeferencing using an automatic contour matching approach
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Pixel and sub-pixel accuracy in satellite image georeferencing using an automatic contour matching approach

机译:使用自动轮廓匹配方法的卫星图像地理配准中的像素和亚像素精度

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This paper presents a technique for a fully automatic and operational geometric correction system capable of georeferencing satellite images with high accuracy. A simple Keplerian orbital satellite model is considered and mean orbital elements are given as input from ephemeris data. To correct the systematic errors caused by these simplifications, nonzero values for the spacecraft roll, pitch and yaw and failures in the satellite internal clock, an automatic global contour matching approach is proposed. It has three main steps: (i) estimation of the gradient energy map (edges) and detection of the cloudless (reliable) areas; (ii) initialization of the contour positions; (iii) obtaining the transformation parameters (affine model) by means of a global contour optimization approach. Three different algorithms are proposed for optimization. The performance of the overall technique is assessed using AVHRR and multisensor AVHRR-SeaWiFS imagery.
机译:本文提出了一种用于全自动和可操作的几何校正系统的技术,该系统能够高精度地对卫星图像进行地理配准。考虑了一个简单的开普勒轨道卫星模型,并给出了来自星历数据的平均轨道要素作为输入。为了纠正由这些简化引起的系统误差,航天器的侧倾,俯仰和偏航的非零值以及卫星内部时钟的故障,提出了一种自动全局轮廓匹配方法。它包括三个主要步骤:(i)估计梯度能量图(边缘)和检测无云(可靠)区域; (ii)初始化轮廓位置; (iii)通过全局轮廓优化方法获得变换参数(仿射模型)。提出了三种不同的算法进行优化。使用AVHRR和多传感器AVHRR-SeaWiFS影像评估整体技术的性能。

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