Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images, application to ground deformation measurements
Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images, application to ground deformation measurements
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DOI：
10.1109/tgrs.2006.888937
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发表时间：
2007-06-01
影响因子：
8.2
通讯作者：
Avouac, Jean-Philippe
中科院分区：
文献类型：
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作者：
Leprince, Sebastien;Barbot, Sylvain;Avouac, Jean-Philippe
我们描述了一种从光学卫星图像中精确测量地面变形的方法。由于成像系统的优化模型获得了精确的正射校正，其中视向被线性校正以补偿姿态漂移，并且考虑了传感器方向的不确定性。我们介绍了一种新的计算逆投影矩阵的方法，并提出了一种严格的重采样方法。明确地解决了不规则重采样问题，以避免在正射校正后的图像中引入混叠。图像配准和相关是通过一种新的迭代无偏处理器来实现的，该处理器在傅立叶域中估计相平面以进行亚像素移位检测。在不使用补充数据的情况下，原始图像被包装到数字高程模型上，并以1150像素的精度进行联合配准。该程序适用于来自任何推扫式成像系统的图像。我们利用L卫星观测数据(SPOT)图像，分析了它在零检验(无同震变形)和1999年美国加利福尼亚州赫克托矿震形变(MW7.1)引起的同震大变形情况下的性能。拟议的技术还将允许精确配准图像，以测量由于冰流或地貌过程引起的地表位移，或用于任何其他变化检测应用。一个完整的软件包，光学传感图像和相关的联合配准，可从加州理工大学构造天文台网站下载。
We describe a procedure to accurately measure ground deformations from optical satellite images. Precise orthorectification is obtained owing to an optimized model of the imaging system, where look directions are linearly corrected to compensate for attitude drifts, and sensor orientation uncertainties are accounted for. We introduce a new computation of the inverse projection matrices for which a rigorous resampling is proposed. The irregular resampling problem is explicitly addressed to avoid introducing aliasing in the ortho-rectified images. Image registration and correlation is achieved with a new iterative unbiased processor that estimates the phase plane in the Fourier domain for subpixel shift detection. Without using supplementary data, raw images are wrapped onto the digital elevation model and coregistered with a 1150 pixel accuracy. The procedure applies to images from any pushbroom imaging system. We analyze its performance using Satellite pour l'Observation de la Terre (SPOT) images in the case of a null test (no coseismic deformation) and in the case of large coseismic deformations due to the Mw 7.1 Hector Mine, California, earthquake of 1999. The proposed technique would also allow precise coregistration of images for the measurement of surface displacements due to ice-flow or geomorphic processes, or for any other change detection applications. A complete software package, the Coregistration of Optically Sensed Images and Correlation, is available for download from the Caltech Tectonics Observatory website.