System and Method for 3D Imaging using Compressive Sensing with Hyperplane Multi-Baseline Data
First Claim
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1. A method for generating a three-dimensional (3D) image, wherein the image is a virtual array image, comprising steps of:
- acquiring data from a scene using multiple parallel baselines and multiple different pulse repetition frequencies (PRF), wherein the multiple baselines are arranged in a hyperplane; and
applying a 3D compressive sensing reconstruction procedure to the data to generate the 3D virtual array image corresponding to the scene.
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Abstract
A method and system generates a three-dimensional (3D) image by first acquiring data from a scene using multiple parallel baselines and multiple different pulse repetition frequencies (PRF), wherein the multiple baselines are arranged in a hyperplane. Then, a 3D compressive sensing reconstruction procedure is applied to the data to generate the 3D image corresponding to the scene.
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Citations
15 Claims
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1. A method for generating a three-dimensional (3D) image, wherein the image is a virtual array image, comprising steps of:
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acquiring data from a scene using multiple parallel baselines and multiple different pulse repetition frequencies (PRF), wherein the multiple baselines are arranged in a hyperplane; and applying a 3D compressive sensing reconstruction procedure to the data to generate the 3D virtual array image corresponding to the scene. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for generating a three-dimensional (3D) image, wherein the image is a virtual array image, comprising:
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multiple parallel baselines arranged in a hyperplane, wherein the baselines acquire data from a scene using and multiple different pulse repetition frequencies (PRF); and a processor connected to the baselines configured to apply a 3D compressive sensing reconstruction procedure to the data to generate the 3D virtual array image corresponding to the scene.
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Specification