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Even after applying effective coregistration methods, multitemporal images are likely to show a residual misalignment, which is referred to as registration noise (RN). This is because coregistration methods from the literature cannot fully handle the local dissimilarities induced by differences in the acquisition conditions (e.g., the stability of the acquisition platform, the off-nadir angle of the...
Urban areas contain many manmade objects such as buildings and roads that create a huge amount of salient features in Very High Resolution (VHR) images. These features are often used as Control Points (CPs) in state-of-the-art co-registration approaches. However, a large number of CPs especially clustered together may result in a poor matching between multitemporal images and thus a poor co-registration...
Very High Resolution (VHR) multitemporal images show a residual misalignment even after applying effective state of the art co-registration. This residual misalignment is caused by the dissimilarities of the acquisition circumstances such as off-nadir angle of the sensor, stability of the acquisition platform, structure of the considered scene, and so on. This paper aims at mitigating the residual...
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