摘要 :
We investigate passive radar imaging of aircraft using reflected TV signals. Such passive multistatic "radar'' has been developed to detect and track aircraft with good accuracy. The additional capability of image formation would ...
展开
We investigate passive radar imaging of aircraft using reflected TV signals. Such passive multistatic "radar'' has been developed to detect and track aircraft with good accuracy. The additional capability of image formation would help to identify targets. The Fourier space sampling provided by passive' radar is nonuniform. For a given aircraft flight path, different receiver locations give rise to different sampling patterns. We simulate multistatic radar returns using Fast Illinois Solver Code (FISC) and show that a good sampling pattern can be used to form a recognizable target image using direct Fourier reconstruction. However, a bad sampling pattern can make it impossible to form a useful image. In the Gaithersburg, MD area, we can select a good receiver location using 21 or fewer channels, which provides good enough Fourier-space coverage to form a useful aircraft image.
收起
摘要 :
We investigate passive radar imaging of aircraft using reflected TV signals. Such passive multistatic "radar" has been developed to detect and track aircraft with good accuracy. The additional capability of image formation would h...
展开
We investigate passive radar imaging of aircraft using reflected TV signals. Such passive multistatic "radar" has been developed to detect and track aircraft with good accuracy. The additional capability of image formation would help to identify targets. The Fourier space sampling provided by passive radar is nonuniform. For a given aircraft flight path, different receiver locations give rise to different sampling patterns. We simulate multistatic radar returns using Fast Illinois Solver Code (FISC) and show that a good sampling pattern can be used to form a recognizable target image using direct Fourier reconstruction. However, a bad sampling pattern can make it impossible to form a useful image. In the Gaithersburg, MD area, we can select a good receiver location using 21 or fewer channels, which provides good enough Fourier-space coverage to form a useful aircraft image.
收起
摘要 :
Despite the fact that wireless sensor networks (WSNs) have been applied to structural health monitoring (SHM) systems of civil infrastructure, the reliable data transmission is very challenging for structures far away from data ce...
展开
Despite the fact that wireless sensor networks (WSNs) have been applied to structural health monitoring (SHM) systems of civil infrastructure, the reliable data transmission is very challenging for structures far away from data center due to long transmission distance. In this paper, we present a novel architecture that high-speed train takes the role of a mobile sink to assist the data collection. In order to guarantee the recovery of monitoring data with high probability under unreliable transmission, a new data packing and reconstruction method called PackTrix is then proposed with Matrix Completion technique. It is proved that the proposed PackTrix algorithm is one of the optimal packing methods rendering the Matrix Completion technique effectiveness for data reconstruction. Theoretical analyses as well as simulations with real world data show that PackTrix can recover lost data with low relative error based on only very small percents of the original data.
收起
摘要 :
This paper is concerned with the image reconstruction from projections problem. The presented paper describes a reconstruction approach based on recurrent neural network. The structure of this network is designed taking into accou...
展开
This paper is concerned with the image reconstruction from projections problem. The presented paper describes a reconstruction approach based on recurrent neural network. The structure of this network is designed taking into account the probabilistic nature of distortion obesrved in x-ray computed tomography. The reconstruction process is performed using in this way constructed neural network solving the optimization problem. Computer experiments show that the appropriately designed recurrent neural network is able to reconstruct an image with better quality in comparison to the standart analytical reconstruction algorithm.
收起
摘要 :
This paper is concerned with the image reconstruction from projections problem. The presented paper describes a reconstruction approach based on recurrent neural network. The structure of this network is designed taking into accou...
展开
This paper is concerned with the image reconstruction from projections problem. The presented paper describes a reconstruction approach based on recurrent neural network. The structure of this network is designed taking into account the probabilistic nature of distortion obesrved in X-ray computed tomography. The reconstruction process is performed using in this way constructed neural network solving the optimization problem. Computer experiments show that the appropriately designed recurrent neural network is able to reconstruct an image with better quality in comparison to the standart analytical reconstruction algorithm.
收起
摘要 :
We present a discrete approach for solving the Shape From Shading problem.
This approach allows us to recover directly the depth of the surface and is based
on the propagation of equal height regions.The reconstruction can use m...
展开
We present a discrete approach for solving the Shape From Shading problem.
This approach allows us to recover directly the depth of the surface and is based
on the propagation of equal height regions.The reconstruction can use more
than one light source direction and can resolve the concave/convex ambiguity
when only one source image is available.Moreover the robustness to noise is
demonstrated on both synthetic and real images.
收起
摘要 :
We present a discrete approach for solving the Shape From Shading problem.
This approach allows us to recover directly the depth of the surface and is based
on the propagation of equal height regions.The reconstruction can use m...
展开
We present a discrete approach for solving the Shape From Shading problem.
This approach allows us to recover directly the depth of the surface and is based
on the propagation of equal height regions.The reconstruction can use more
than one light source direction and can resolve the concave/convex ambiguity
when only one source image is available.Moreover the robustness to noise is
demonstrated on both synthetic and real images.
收起
摘要 :
We present a discrete approach for solving the Shape From Shading problem.
This approach allows us to recover directly the depth of the surface and is based
on the propagation of equal height regions.The reconstruction can use m...
展开
We present a discrete approach for solving the Shape From Shading problem.
This approach allows us to recover directly the depth of the surface and is based
on the propagation of equal height regions.The reconstruction can use more
than one light source direction and can resolve the concave/convex ambiguity
when only one source image is available.Moreover the robustness to noise is
demonstrated on both synthetic and real images.
收起
摘要 :
Combines several ideas, including nonuniform sampling and circular harmonic expansions, into a new procedure for reconstructing a small region of interest (ROI) of an image from a set of its projections that are densely sampled in...
展开
Combines several ideas, including nonuniform sampling and circular harmonic expansions, into a new procedure for reconstructing a small region of interest (ROI) of an image from a set of its projections that are densely sampled in the ROI and coarsely sampled outside the ROI. Specifically, the radial sampling density of both the projections and the reconstructed image decreases exponentially with increasing distance from the ROI. The problem and data are reminiscent of the local tomography problem; however, the present algorithm reconstructs the ROI of the image itself, not the filtered version of it obtained using local tomography. The new algorithm has the added advantages of speed (it can be implemented entirely using the FFT) and parallelizability (each image harmonic is independent).
收起
摘要 :
Modern reconstruction methods for magnetic resonance imaging (MRI) exploit the spatially varying sensitivity profiles of receive-coil arrays as additional source of information. This allows to reduce the number of time-consuming F...
展开
Modern reconstruction methods for magnetic resonance imaging (MRI) exploit the spatially varying sensitivity profiles of receive-coil arrays as additional source of information. This allows to reduce the number of time-consuming Fourierencoding steps by undersampling. The receive sensitivities are a priori unknown and influenced by geometry and electric properties of the (moving) subject. For optimal results, they need to be estimated jointly with the image from the same undersampled measurement data. Formulated as an inverse problem, this leads to a bilinear reconstruction problem related to multi-channel blind deconvolution. In this work, we will discuss some recently developed approaches for the solution of this problem.
收起
原文获取