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公开(公告)号：US20170236031A9
公开(公告)日：2017-08-17
申请号：US14619754
申请日：2015-02-11
Applicant: THE BOEING COMPANY
Inventor： Robert J. Klein , Anthony W. Baker
CPC classification number: G06K9/52 , G06F17/3028 , G06K9/00476 , G06K9/6211 , G06T7/33 , G06T7/74 , G06T2207/10032 , G06T2207/10044 , G06T2207/10048 , G06T2207/30236
Abstract: A method for registering existing vector data associated with a first image of a location to a second image of the location is provided. Typically the images are separated by an increment of time. The method is implemented by at least one computing device including at least one processor in communication with a memory. The method includes receiving, by the at least one computing device, the existing vector data associated with the first image of the location, receiving, by the at least one computing device, a plurality of controls for registering the first image to the second image, applying, by the at least one computing device, the plurality of controls to the existing vector data to generate updated vector data, and storing, in the memory, the updated vector data associated with the second image.
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公开(公告)号：US20200372237A1
公开(公告)日：2020-11-26
申请号：US16421305
申请日：2019-05-23
Applicant: The Boeing Company
Inventor： Robert J. Klein
Abstract: A method for co-registering terrain data and image data includes receiving terrain data and image data. The method also includes determining a position of a light source based upon the image data. The method also includes creating a hillshade representation of the terrain data based upon the terrain data and the position of the light source. The method also includes identifying a portion of the hillshade representation and a portion of the image data that correspond to one another. The method also includes comparing the portion of the hillshade representation and the portion of the image data. The method also includes determining a vector control between the portion of the hillshade representation and the portion of the image data based upon the comparison. The method also includes applying the vector control to the image data to produce updated image data.
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公开(公告)号：US10656305B2
公开(公告)日：2020-05-19
申请号：US15201136
申请日：2016-07-01
Applicant: The Boeing Company
Inventor： Robert J. Klein , Pamela L. Blake
Abstract: A method and apparatus for simulating spectral representation of a region of interest is disclosed. In one embodiment, the method comprises determining a physical characteristic of a geospatial portion of the region of interest, associating the determined physical characteristic with a material of a spectral library, the spectral library having at least one spectral definition material, associating the spectral definition of the material with the geospatial portion of the region of interest, wherein the material is at least partially representative of the geospatial section of the region of interest, and generating the simulated spectral representation of the region of interest at least in part from at least the associated spectral definition of the at least one material.
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公开(公告)号：US10140758B1
公开(公告)日：2018-11-27
申请号：US14874542
申请日：2015-10-05
Applicant: The Boeing Company
Inventor： Robert J. Klein , David Alan Findley
Abstract: A method and apparatus is provided for forming a model of a structure. Input data comprising a set of values for a set of attributes is received. The set of values for the set of attributes is matched to a number of texture decks in a plurality of texture decks. A texture deck in the plurality of texture decks is associated with a set of assigned attributes. Each assigned attribute in the set of assigned attributes is assigned at least one assigned value. A texture deck from the number of texture decks is selected as a final texture deck for use in forming the model of the structure.
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公开(公告)号：US20180007288A1
公开(公告)日：2018-01-04
申请号：US15201137
申请日：2016-07-01
Applicant: The Boeing Company
Inventor： Robert J. Klein , Anthony W. Baker
CPC classification number: H04N5/332 , G01J3/0264 , G01J3/28 , G01J3/2823 , G01J2003/2826 , G06K9/0063 , G06K9/00771 , G06T7/11 , G06T7/70 , G06T2207/10036 , G06T2207/30188
Abstract: A system and method for collecting spectral data of a region of interest with a sensor is described. In one embodiment, the method comprises generating a simulated spectral representation of a region of interest, identifying at least one of the plurality of materials as a material of interest within the region of interest, identifying other of the plurality of materials not identified as a material of interest as background materials within the region of interest, selecting a subset spectral portion of the spectral data according to the simulated spectral representation of the material of interest and the simulated spectral representation of the background materials within the region of interest, and configuring the sensor to collect a subset spectral portion of the spectral data.
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Patent Agency Ranking
公开(公告)号：US20160232424A1
公开(公告)日：2016-08-11
申请号：US14619754
申请日：2015-02-11
Applicant: THE BOEING COMPANY
Inventor： Robert J. Klein , Anthony W. Baker
CPC classification number: G06K9/52 , G06F17/3028 , G06K9/00476 , G06K9/6211 , G06T7/33 , G06T7/74 , G06T2207/10032 , G06T2207/10044 , G06T2207/10048 , G06T2207/30236
Abstract: A method for registering existing vector data associated with a first image of a location to a second image of the location is provided. Typically the images are separated by an increment of time. The method is implemented by at least one computing device including at least one processor in communication with a memory. The method includes receiving, by the at least one computing device, the existing vector data associated with the first image of the location, receiving, by the at least one computing device, a plurality of controls for registering the first image to the second image, applying, by the at least one computing device, the plurality of controls to the existing vector data to generate updated vector data, and storing, in the memory, the updated vector data associated with the second image.
Abstract translation: 提供了一种用于将与位置的第一图像相关联的现有矢量数据注册到该位置的第二图像的方法。 通常，图像以时间增量分隔。 该方法由包括与存储器通信的至少一个处理器的至少一个计算设备来实现。 所述方法包括：由所述至少一个计算设备接收与所述位置的所述第一图像相关联的所述现有矢量数据，由所述至少一个计算设备接收用于将所述第一图像注册到所述第二图像的多个控件， 由所述至少一个计算设备将所述多个控制应用于所述现有矢量数据以生成更新的矢量数据，以及在所述存储器中存储与所述第二图像相关联的更新的矢量数据。
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公开(公告)号：US10462389B2
公开(公告)日：2019-10-29
申请号：US15201137
申请日：2016-07-01
Applicant: The Boeing Company
Inventor： Robert J. Klein , Anthony W. Baker
Abstract: A system and method for collecting spectral data of a region of interest with a sensor is described. In one embodiment, the method comprises generating a simulated spectral representation of a region of interest, identifying at least one of the plurality of materials as a material of interest within the region of interest, identifying other of the plurality of materials not identified as a material of interest as background materials within the region of interest, selecting a subset spectral portion of the spectral data according to the simulated spectral representation of the material of interest and the simulated spectral representation of the background materials within the region of interest, and configuring the sensor to collect a subset spectral portion of the spectral data.
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公开(公告)号：US10169663B2
公开(公告)日：2019-01-01
申请号：US15254763
申请日：2016-09-01
Applicant: The Boeing Company
Inventor： Anthony W. Baker , Robert J. Klein
Abstract: An example method includes determining first classification rule(s) based on first data that classifies pixel groups of first reference image(s) as types of objects. The first reference image(s) are captured by a first sensor. The method further includes determining second classification rule(s) based on second data that classifies pixel groups of second reference image(s) as types of objects. The second reference image(s) are captured by a second sensor. The method includes classifying, as respective first objects, pixel group(s) of a first image of a scene based on the first classification rule(s). The method includes classifying, as respective second objects, pixel group(s) of a second image of the scene based on the second classification rule(s). The method further includes determining whether a change occurred in the scene based on the object classification of the first image(s) and the second image(s).
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公开(公告)号：US20180285640A1
公开(公告)日：2018-10-04
申请号：US15476562
申请日：2017-03-31
Applicant: THE BOEING COMPANY
Inventor： Timothy E. Brown , Robert J. Klein
CPC classification number: G06K9/00637 , G01J3/2823 , G01J3/42 , G06K9/00657 , G06K9/34 , G06K9/4661 , G06K9/6201 , G06K2009/00644 , G06K2009/4657
Abstract: A method of identifying a target material in a spectral image includes acquiring a spectral image of a scene. The method also includes performing image segmentation to partition the spectral image into a plurality of segments. The method includes accessing a database of spectral models of a plurality of materials to determine a material whose spectral model is most similar to the spectral data for the segment, a difference between the spectral model of the material and the spectral data for the segment including measurable reflectance or radiance at characteristic frequencies or wavelengths. The method also includes analyzing a database of spectral data for a plurality of target materials to identify a target material whose spectral data also has measurable reflectance or radiance at the characteristic frequencies or wavelengths. And the method includes outputting an identifier of the target material for display with the spectral image.
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公开(公告)号：US20180060670A1
公开(公告)日：2018-03-01
申请号：US15254763
申请日：2016-09-01
Applicant: The Boeing Company
Inventor： Anthony W. Baker , Robert J. Klein
CPC classification number: G06K9/00771 , G06K9/6201 , G06K9/6268
Abstract: An example method includes determining first classification rule(s) based on first data that classifies pixel groups of first reference image(s) as types of objects. The first reference image(s) are captured by a first sensor. The method further includes determining second classification rule(s) based on second data that classifies pixel groups of second reference image(s) as types of objects. The second reference image(s) are captured by a second sensor. The method includes classifying, as respective first objects, pixel group(s) of a first image of a scene based on the first classification rule(s). The method includes classifying, as respective second objects, pixel group(s) of a second image of the scene based on the second classification rule(s). The method further includes determining whether a change occurred in the scene based on the object classification of the first image(s) and the second image(s).
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