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公开(公告)号:US11300682B2
公开(公告)日:2022-04-12
申请号:US16163675
申请日:2018-10-18
Inventor: Aaron W. Bennett , Murray R. Collette , Brant M. Kaylor
IPC: G01S17/32 , G01N21/31 , G01N21/3504 , G01N23/203 , G01S17/88 , G01V5/00
Abstract: A system and method for a bistatic coherent LIDAR system with lasers locked to a reference. Utilizing atomic absorption lines to lock the frequency for the bistatic system provides an absolute reference, as each of the lasers in the bistatic system would have the same frequency to within the linewidth of the frequency reference. Each laser may also be additionally locked to an optical cavity for increased frequency stability. Not only does such a system provide essentially an infinite aperture, it also reduces laser power requirements because the detector platforms could be much closer to the target than the platform that contains the laser.
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公开(公告)号:US12125166B2
公开(公告)日:2024-10-22
申请号:US17864136
申请日:2022-07-13
Inventor: Patrick D. Fitzgerald , Brant M. Kaylor
IPC: G06T3/14 , G06F17/11 , G06T3/4038
CPC classification number: G06T3/4038 , G06F17/11 , G06T3/14
Abstract: The disclosed method enables efficient registration and correction of random vertical and horizontal offsets of a plurality of images of a feature to enable combination thereof with maximum noise suppression. The method includes obtaining image cross correlations and estimating correlation peaks. If a correlation peak cannot be uniquely determined for a given correlation, all candidates are retained. An improved robust weighted regression is applied thereto to obtain estimates of the image shifts. Dimensional symmetry is exploited to remove redundancy from the weighted normal equation, and computational requirements are further reduced by analytically determining the coefficients matrix and the inhomogeneous matrix, thereby circumventing conventional computations. Solution of the resulting consistent, full rank, linear system requires only matrix inversion. For N images, the present method thereby increases computation speed and reduces storage by approximately N2.
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公开(公告)号:US20240020789A1
公开(公告)日:2024-01-18
申请号:US17864136
申请日:2022-07-13
Inventor: Patrick D. Fitzgerald , Brant M. Kaylor
CPC classification number: G06T3/4038 , G06T3/0068 , G06F17/11
Abstract: The disclosed method enables efficient registration and correction of random vertical and horizontal offsets of a plurality of images of a feature to enable combination thereof with maximum noise suppression. The method includes obtaining image cross correlations and estimating correlation peaks. If a correlation peak cannot be uniquely determined for a given correlation, all candidates are retained. An improved robust weighted regression is applied thereto to obtain estimates of the image shifts. Dimensional symmetry is exploited to remove redundancy from the weighted normal equation, and computational requirements are further reduced by analytically determining the coefficients matrix and the inhomogeneous matrix, thereby circumventing conventional computations. Solution of the resulting consistent, full rank, linear system requires only matrix inversion. For N images, the present method thereby increases computation speed and reduces storage by approximately N2.
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