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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...
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...
Image registration is an inevitable problem arising in many image-processing applications whenever two or more images of the same scene have to be compared pixel by pixel. The increased volume of satellite images has reinforced the need for automatic image registration methods. In this paper, two new feature-based approaches to automated image-to-image registration are presented. The characteristic...
This paper deals with a major problem encountered in the area of airborne synthetic aperture radar (SAR) image mosaic when SAR is applied in large-scale scene. In order to enhance real-time performance and robustness of image mosaic, a mosaic method for airborne SAR image based on location is put forward. And the comparing experiments between the proposed approach and the direct image mosaic method...
In order to get good SAR-GMTI (Synthetic Aperture Radar-Ground Moving Target Indicator) result, two pictures are demanded to be like at sub-pixel with registration method. This paper proposes a new image registration method, which combine genetic algorithm with traditional image registration algorithm, it uses Fourier algorithm in the pixel image registration, and combine genetic algorithm with amplitude...
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...
Range scans produced by LiDAR (Light Detection and Ranging) intrinsically suffer from ??shadows?? of missing data cast on surfaces by occluding objects. In this paper, we show how a single additional image of the scene from a different perspective can be used to automatically fill in high-detail structure in these shadow regions. The technique is inspired by inpainting algorithms from the computer...
Interferometric synthetic aperture radar (InSAR) is a key technology in geoscience. In the generation of a digital elevation map (DEM), the elimination of singular points (SPs) is the most important process besides the phase unwrapping (PU). A SP means a point where the phase rotation is not zero in the interferogram obtained by InSAR. What yields the SPs? One reason is a big cliff actually existing...
This paper presents the results of a distributed multiple-input/multiple-output radar system which emulates four transmitters and four receivers. This experimental multistatic X-band system is employed for synthetic aperture radar imaging of both simple and complex scattering structures, and comparisons are made with the corresponding monostatic imagery. The required cross-platform coherency is maintained...
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...
This article addresses the problem of SAR (synthetic aperture radar) images non-coherent change detection. Here, we use a multi-scale registration technique based on mutual information and we introduce a novel preprocessing algorithm to get rid of the corruptive multiplicative noise (also called speckle) on SAR images. The change detection is then easily and accurately performed with a local comparison...
In this paper, a fuzzy Markov random field (FMRF) model is used to segment land-objects into tree, grass, building, and road regions by fusing remotely sensed LIDAR data and co-registered color bands, i.e. scanned aerial color (RGB) photo and near infra-red (NIR) photo. An FMRF model is defined as a Markov random field (MRF) model in a fuzzy domain. Three optimization algorithms in the FMRF model,...
Mutual information (MI) has proven its effectiveness for automated multimodal image registration for numerous remote sensing applications like image fusion. We analyze MI performance with respect to joint histogram bin size and the employed joint histogramming technique. The affect of generalized partial volume estimation (GPVE) utilizing B-spline kernels with different histogram bin sizes on MI performance...
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