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公开(公告)号：US11087532B2
公开(公告)日：2021-08-10
申请号：US16674868
申请日：2019-11-05
Applicant: Raytheon Company
Inventor： Jody D. Verret , Ali J. Arik , Richard W. Ely , Corey J. Collard , Jerry O. Moore , Robert M. Willer , Matthew A. Schaefer , Robert T. Pierce , Stephen J. Raif , Grant B. Boroughs , James G. Hayes , Kevin M. Grange , Robert V. Opalecky , Mark J. Graebner
Abstract: A system receives digital images of a geographic location, associates each digital image with ground control points in a set of reference stereo images, and associates each digital image to each other digital image via image to image tiepoints. The system updates a geometry of each image via a bundle adjustment, and uses a prioritized stacking order to establish piecewise linear seam lines between each of the images. The system finally builds a prioritized map in a mosaic space specifying the source image pixels that are used in each region of the output mosaic, and forms the mosaic image using the prioritized map.
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公开(公告)号：US20210110195A1
公开(公告)日：2021-04-15
申请号：US17011693
申请日：2020-09-03
Applicant: Raytheon Company
Inventor： Jody D. Verret
Abstract: A system identifies strong features in conjugate digital images and correlates the conjugate digital images for an identification of candidate tie points using only portions of the conjugate digital images that include the strong features.
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公开(公告)号：US20210097280A1
公开(公告)日：2021-04-01
申请号：US17020300
申请日：2020-09-14
Applicant: Raytheon Company
Inventor： Wyatt D. Sharp, III , Kathryn A. Welin , Jody D. Verret , Richard W. Ely , Stephen J. Raif
Abstract: A method can include identifying a geolocation of an object in an image, the method comprising receiving data indicating a pixel coordinate of the image selected by a user, identifying a data point in a targetable three-dimensional (3D) data set corresponding to the selected pixel coordinate, and providing a 3D location of the identified data point.
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4.发明申请公开(公告)号：US20140112536A1
公开(公告)日：2014-04-24
申请号：US14059802
申请日：2013-10-22
Applicant: Raytheon Company
Inventor： Richard W. Ely , Jody D. Verret , Grant B. Boroughs
IPC: G06T7/00
CPC classification number: G06T7/0026 , G06T7/32 , G06T15/506 , G06T15/60 , G06T17/05 , G06T2207/10028 , G06T2207/10032 , G06T2207/30184 , G06T2207/30212
Abstract: A system and methods can create a synthetic image of a target from a 3D data set, by using an electro-optical (EO) image and sun geometry associated with the EO image. In some examples, a 3D surface model is created from a 3D data set. The 3D surface model establishes a local surface orientation at each point in the 3D data set. A surface shaded relief (SSR) is produced from the local surface orientation, from an EO image, and from sun geometry associated with the EO image. Points in the SSR that are in shadows are shaded appropriately. The SSR is projected into the image plane of the EO image. Edge-based registration extracts tie points from the projected SSR. The 3D data set converts the tie points to ground control points. A geometric bundle adjustment aligns the EO image geometry to the 3D data set.
Abstract translation: 系统和方法可以通过使用与EO图像相关联的电光（EO）图像和太阳几何从3D数据集创建目标的合成图像。 在一些示例中，3D表面模型是从3D数据集创建的。 3D表面模型在3D数据集中的每个点建立局部表面取向。 表面阴影浮雕（SSR）从局部表面取向，从EO图像和与EO图像相关联的太阳几何产生。 阴影中的SSR中的点适当地阴影。 将SSR投影到EO图像的图像平面中。 基于边缘的注册提取了SSR中的连接点。 3D数据集将连接点转换为地面控制点。 几何束调整将EO图像几何与3D数据集对齐。
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公开(公告)号：US20240428568A1
公开(公告)日：2024-12-26
申请号：US18340423
申请日：2023-06-23
Applicant: Raytheon Company
Inventor： Jonathan H. Goldstein , Lauren E. Turney , Richard W. Ely , Jody D. Verret , Brett N. Appleton
IPC: G06V10/774 , G06N3/094 , G06V10/82
Abstract: A method includes obtaining training data having first image pairs, where each of the first image pairs includes (i) a first training image and (ii) a first ground truth image. The method also includes training a machine learning model to generate realistic images using the first image pairs. The method further includes obtaining additional training data having second image pairs, where each of the second image pairs includes (i) a second training image and (ii) a second ground truth image. At least some of the images in the second image pairs are less aligned or of lower quality than at least some of the images in the first image pairs. In addition, the method includes continuing to train the machine learning model to generate the realistic images using the second image pairs.
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Patent Agency Ranking
公开(公告)号：US11580690B1
公开(公告)日：2023-02-14
申请号：US17463254
申请日：2021-08-31
Applicant: Raytheon Company
Inventor： James N. Head , Wenkai Qin , Jeffrey S. Klein , Jody D. Verret
Abstract: Systems, devices, methods, and computer-readable media for horizon-based navigation. A method can include receiving image data corresponding to a geographical region in a field of view of an imaging unit and in which the device is situated, based on the received image data, generating, by the processing unit, an image horizon corresponding to a horizon of the geographical region and from a perspective of the imaging unit, projecting three-dimensional (3D) points of a 3D point set of the geographical region to an image space of the received image data resulting in a synthetic image, generating, by the processing unit, a synthetic image horizon of the synthetic image, and responsive to determining the image horizon sufficiently correlates with the synthetic image horizon, providing a location corresponding to a perspective of the synthetic image as a location of the processing unit.
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公开(公告)号：US11288493B2
公开(公告)日：2022-03-29
申请号：US16800819
申请日：2020-02-25
Applicant: Raytheon Company
Inventor： Jody D. Verret , Corey J. Collard
Abstract: Discussed herein are devices, systems, and methods for merging point cloud data with error propagation. A can include reducing a sum aggregate of discrepancies between respective tie points and associated 3D points in first and second 3D images, adjusting 3D error models of the first and second 3D images based on the reduced discrepancies to generate registered 3D images, and propagating an error of the first or second 3D images to the registered 3D image to generate error of the registered 3D images.
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公开(公告)号：US11138696B2
公开(公告)日：2021-10-05
申请号：US16586349
申请日：2019-09-27
Applicant: Raytheon Company
Inventor： Jody D. Verret
IPC: G06T5/00
Abstract: A process improves accuracy in mapping geodetic coordinates to image sensor coordinates via an image rational function. The image rational function is fitted to an image-to ground sensor model at an input grid of image u coordinates and image v coordinates, and further at geodetic longitudes, geodetic latitudes, and geodetic heights corresponding to the image u coordinates and the image v coordinates. This fitting generates fit residuals. The fit residuals are stored as a function of the image u coordinates, the image v coordinates, and the geodetic height coordinates. The fit residuals are applied to metadata associated with the image rational function. This application corrects for a residual error in a fit of the image rational function to the image-to-ground sensor model.
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9.发明授权公开(公告)号：US09430872B2
公开(公告)日：2016-08-30
申请号：US14201008
申请日：2014-03-07
Applicant: Raytheon Company
Inventor： Stephen J. Raif , John J. Coogan , Steven B. Seida , Paul L. Pryor , Carlton E. Nance , Wyatt D. Sharp, III , Jody D. Verret
CPC classification number: G06T17/00 , G06F17/30241 , G06F17/30256 , G06T7/0002 , G06T17/05 , G06T2200/04 , G06T2207/10028 , G06T2207/30168 , G06T2210/56
Abstract: A system and method of generating point clouds from passive images. Image clusters are formed, wherein each image cluster includes two or more passive images selected from a set of passive images. Quality of the point cloud that could be generated from each image cluster is predicted for each image cluster based on a performance prediction score for each image cluster. A subset of image clusters is selected for further processing based on their performance prediction scores. A mission-specific quality score is determined for each point cloud generated and the point cloud with the highest quality score is selected for storage.
Abstract translation: 从被动图像生成点云的系统和方法。 形成图像簇，其中每个图像簇包括从一组无源图像中选择的两个或更多个被动图像。 基于每个图像集群的性能预测分数，为每个图像集群预测可以从每个图像集群生成的点云的质量。 基于其性能预测分数，选择图像簇的子集用于进一步处理。 对于生成的每个点云确定特定任务质量得分，并选择具有最高质量得分的点云进行存储。
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10.发明申请OSCILLATORY MOTION COMPENSATION IN FREQUENCY DOMAIN IN IMAGE MOTION SENSING SYSTEMS 有权图像运动感应系统中频域的振动运动补偿公开(公告)号：US20150103169A1
公开(公告)日：2015-04-16
申请号：US14511111
申请日：2014-10-09
Applicant: Raytheon Company
Inventor： Jody D. Verret , Corey Collard , Erich Hefner
CPC classification number: G06T5/003 , G06T5/10 , G06T7/262 , G06T2207/10032 , G06T2207/20056 , G06T2207/20201 , G06T2207/30184
Abstract: A system and a method for processing multi-linear image data by measuring a relative oscillatory motion from a first-imaged array of the multi-linear optical array to a second-imaged array of the multi-linear optical array as a first function in time domain via image correlation; transforming the first function from the time domain to a second function in frequency domain; converting real and the imaginary parts of the second function to polar coordinates to generate a magnitude and a phase; correcting the polar coordinates from the second function in the frequency domain to generate a third function; converting the third function to rectangular coordinates to generate a fourth function in the frequency domain; and transforming the fourth function from the frequency domain to a fifth function in the time domain.
Abstract translation: 一种用于通过测量从多线性光学阵列的第一成像阵列到多线性光学阵列的第二成像阵列的相对振荡运动作为时间的第一函数来处理多线性图像数据的系统和方法 域图像相关; 将第一个功能从时域转换为频域的第二个功能; 将第二函数的实部和虚部转换为极坐标以产生幅度和相位; 从频域中的第二函数校正极坐标以产生第三函数; 将第三函数转换成矩形坐标以在频域中产生第四函数; 并将第四功能从频域变换为时域中的第五功能。
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