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A new approach is proposed to correct geometric distortion and reduce space and time-variant blur in videos that suffer from atmospheric turbulence. We first register the frames to suppress geometric deformation using a B-spline based non-rigid registration method. Next, a fusion process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space...
This paper addresses an adaptive coregistration method of synthetic aperture radar interferometry (InSAR) phase images. The method for adaptive coregistration of InSAR images is characterized by using multisource information and joint data fusion. We propose a strategy and criteria incorporating the weighted joint data information to evaluate the accuracy of the registered method by the using the...
Registration of 3D facial surfaces means establishing point-to-point correspondence between two 3D facial surfaces. Difficulties typical for the registration of 3D facial surfaces are varying illumination, pose or viewpoint changes, varying facial expressions, and different appearance of individuals. In this work we propose to use a covariance matrix as descriptor for the neighborhood of a salient...
In this paper, we propose a robust estimation method to coregistration error for synthetic aperture radar interferometry (InSAR) interferometric phase. In the method, the optimal joint data vector is determined, the true steering vector is computed according to the data vector, and then the beamforming technique with the steering vector is used to estimate the InSAR interferometric phase. The method...
Interferogram estimate method based on the weight subspace fitting is presented through the subspace fitting of measured signal subspace and the subspace spanned by compound steering vectors. The proposed method can improve the performance of interferogram estimate, using the forward-backward average processing method to decorrelate the signals. The processing results from real data of InSAS show...
In this paper, a robust method for synthetic aperture radar interferometry (InSAR) interferometric phase estimation is introduced. In the method, the optimal joint data vector is determined, the generalized correlation steering vector is computed according to the data vector, and then the beamforming technique with the steering vector is used to estimate the InSAR interferometric phase. The method...
In this work we present an eigenspace-like technique for the estimation of the unwrapped phase which is based on the model of the multi-baseline joint data group. The method is shown to work well even in the presence of the image coregistration misalignment and the steering vector mismatch, and has the ability to overcome the conflict associated with the computational complexity and the lack of the...
We propose a system to process multispectral scans of double-sided documents. It can co-register any number of recto and verso channel maps, and reduce the bleed-through/show-through distortions by exploiting blind source separation. From RGB scans, it is also able to recover the original colors, thus improving the readability of a document while maintaining its original appearance. The recto and...
Accurate definition of similarity measure is a key component in image registration. Most commonly used intensity-based similarity measures rely on the assumptions of independence and stationarity of the intensities from pixel to pixel. Such measures cannot capture the complex interactions among the pixel intensities, and often result in less satisfactory registration performances, especially in the...
Phase unwrapping is the key problem in building the digital elevation model (DEM) of a scene from interferometric synthetic aperture radar (SAR) system data. In this paper, we propose a method of phase unwrapping based on the model of the multibaseline joint data group. The method can not only adaptively coregister the SAR images, but also accurately provide the accurate estimation of the terrain...
In this paper, we proposed a novel method based on matrix fitting to estimate the synthetic aperture radar interferometry (InSAR) or synthetic aperture sonar interferometry (InSAS) interferometric phase. In this method, we formulate generalized steering vector at first. And then, taking advantage of the coherence information of neighboring pixel pairs, covariance matrix of complex data vector is estimated...
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