On the possibility of automatic multisensor image registration
On the possibility of automatic multisensor image registration
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DOI：
10.1109/tgrs.2004.835294
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发表时间：
2004-10-01
影响因子：
8.2
通讯作者：
Giros, A
中科院分区：
文献类型：
--
作者：
Inglada, J;Giros, A
在遥感图像的大量应用中需要多传感器图像配准。通常的方法（手动控制点提取，分析变形模型的估计）所达到的精度对于许多需要图像每个像素的亚像素精度的应用（例如，变化检测或图像融合）是不令人满意的。不幸的是，关于多传感器图像的精细配准的文献很少，而关于类似于基于精细相关的方法在单模图像情况下的扩展的文献更少。本文分析了多传感器图像的自动配准问题，引入了相似度测度来代替变形图估计方案中的相关系数。我们展示了一个例子，其中雷达图像和光学图像之间的变形映射是完全自动估计的。
Multisensor image registration is needed in a large number of applications of remote sensing imagery. The accuracy achieved with usual methods (manual control points extraction, estimation of an analytical deformation model) is not satisfactory for many applications where a subpixel accuracy for each pixel of the image is needed (change detection or image fusion, for instance). Unfortunately, there are few works in the literature about the fine registration of multisensor images and even less about the extension of approaches similar to those based on fine correlation for the case of monomodal imagery. In this paper, we analyze the problem of the automatic multisensor image registration and we introduce similarity measures which can replace the correlation coefficient in a deformation map estimation scheme. We show an example where the deformation map between a radar image and an optical one is fully automatically estimated.