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11.发明授权公开(公告)号：US10650614B2
公开(公告)日：2020-05-12
申请号：US15721533
申请日：2017-09-29
Applicant: THE BOEING COMPANY
Inventor： David J. Huber , Alex N. Waagen , Qin Jiang , Tsai-Ching Lu
Abstract: A method and apparatus for maintaining an aircraft. Real-time event information indicating faults in systems on the aircraft and aircraft condition monitoring system data indicating conditions of the systems on the aircraft are stored during a plurality of legs of flights of the aircraft. A feature table comprising the real-time event information and the aircraft condition monitoring system data is built. Feature vectors are extracted from the feature table. A machine learning algorithm is applied to the extracted feature vectors to generate a predicted maintenance event message that identifies a predicted maintenance event. The predicted maintenance event message is used to perform a maintenance operation on the aircraft.
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公开(公告)号：US09508134B2
公开(公告)日：2016-11-29
申请号：US14657932
申请日：2015-03-13
Applicant: The Boeing Company
Inventor： Qin Jiang , Yuri Owechko
CPC classification number: G06T5/40 , G06T5/002 , G06T5/003 , G06T5/009 , G06T2207/20064 , G06T2207/20076 , G06T2207/20192
Abstract: Described herein is a method for enhancing image data that includes transforming image data from an intensity domain to a wavelet domain to produce wavelet coefficients. A first set of wavelet coefficients of the wavelet coefficients includes low-frequency wavelet coefficients. The method also includes modifying the first set of wavelet coefficients using a coefficient distribution based filter to produce a modified first set of wavelet coefficients. The method includes transforming the modified first set of wavelet coefficients from the wavelet domain to the intensity domain to produce enhanced image data.
Abstract translation: 这里描述了一种用于增强图像数据的方法，其包括将图像数据从强度域变换为小波域以产生小波系数。 小波系数的第一组小波系数包括低频小波系数。 该方法还包括使用基于系数分布的滤波器来修改第一组小波系数，以产生经修改的第一组小波系数。 该方法包括将经修改的第一组小波系数从小波域变换到强度域，以产生增强的图像数据。
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13.发明授权公开(公告)号：US11280899B2
公开(公告)日：2022-03-22
申请号：US16804978
申请日：2020-02-28
Applicant: THE BOEING COMPANY
Inventor： Qin Jiang , David Payton , Adour Vahe Kabakian , Joshua Haug , Brian N. Limketkai
IPC: G01S13/90 , G01S13/933 , G01S13/00
Abstract: A method of identifying a target from synthetic aperture radar (SAR) data without incurring the computational load associated with generating an SAR image. The method includes receiving SAR data collected by a radar system including RF phase history data associated with reflected RF pulses from a target in a scene, but excluding an SAR image. Range profile data is determined from the SAR data by converting the RF phase history data into a structured temporal array that can be applied as input to a classifier incorporating a recurrent neural network, such as a recurrent neural network made up of long short-term memory (LSTM) cells that are configured to recognize temporal or spatial characteristics associated with a target, and provide an identification of a target based on the recognized temporal or spatial characteristic.
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公开(公告)号：US10176557B2
公开(公告)日：2019-01-08
申请号：US15258917
申请日：2016-09-07
Applicant: The Boeing Company
Inventor： Qin Jiang , Yuri Owechko
Abstract: Described herein is a method for enhancing image data that includes dividing an image into multiple regions. The method includes measuring variations in pixel intensity distribution of the image to determine high pixel intensity variations for identifying an intensity-changing region. The method includes calculating a histogram of intensity distribution of pixel intensity values for the intensity-changing region without calculating a histogram of intensity distribution of pixel intensity values for each region of the multiple regions. The method also includes determining a transformation function based on the intensity distribution for the intensity-changing region. The method includes applying the transformation function to modify an intensity for each pixel in the image to produce an enhanced image in real time. The method also includes detecting in the enhanced image a horizon for providing to an operator of a vehicle an indication of the horizon in the image on a display in the vehicle.
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公开(公告)号：US20180365805A1
公开(公告)日：2018-12-20
申请号：US15625799
申请日：2017-06-16
Applicant: The Boeing Company
Inventor： Yuri Owechko , Qin Jiang
Abstract: Described herein is a method of enhancing an image includes determining a level of environmental artifacts at a plurality of positions on an image frame of image data. The method also includes adjusting local area processing of the image frame, to generate an adjusted image frame of image data, based on the level of environmental artifacts at each position of the plurality of positions. The method includes displaying the adjusted image frame.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20180342048A1
公开(公告)日：2018-11-29
申请号：US15607094
申请日：2017-05-26
Applicant: The Boeing Company
Inventor： Qin Jiang , Yuri Owechko , Kyungnam Kim
CPC classification number: B64C39/024 , B64C2201/123 , B64C2201/146 , G05D1/0038 , G06T7/277 , G06T11/60 , G06T2207/10016 , G06T2207/10048
Abstract: Described herein is a method of displaying an object that includes detecting a first location of the object on a first image frame of image data. The method also includes determining a second location of the object on a second image frame of the image data on which the object is not detectable due to an obstruction. The method includes displaying a representation of the object on the second image frame.
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公开(公告)号：US12216198B2
公开(公告)日：2025-02-04
申请号：US17456345
申请日：2021-11-23
Applicant: The Boeing Company
Inventor： Qin Jiang , David Wayne Payton , Soheil Kolouri , Adour Vahe Kabakian , Brian N. Limketkai
IPC: G01S13/90
Abstract: Disclosed is a synthetic aperture radar (SAR) system for target recognition with complex range profile. The SAR system comprising a memory, a recurrent neural network (RNN), a multi-layer linear network in signal communication the RNN, and a machine-readable medium on the memory. The machine-readable medium is configured to store instructions that, when executed by the RNN, cause the SAR system to perform various operations. The various operation comprise: receiving raw SAR data associated with observed views of a scene, wherein the raw SAR data comprises information captured via the SAR system; radio frequency (RF) preprocessing the received raw SAR data to produce a processed raw SAR data; converting the processed raw SAR data to a complex SAR range profile data; processing the complex SAR range profile data with the RNN having RNN states; and mapping the RNN states to a target class with the multi-layer linear network.
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18.发明申请公开(公告)号：US20240394538A1
公开(公告)日：2024-11-28
申请号：US18324878
申请日：2023-05-26
Applicant: The Boeing Company
Inventor： Qin Jiang , Eric Clough , Navid Naderializadeh , Heiko Hoffmann
Abstract: Examples for detection of defects in an additively manufactured object are provided. In one aspect, a method is provided. The method comprises receiving in-situ spectral data measured from the additively manufactured object during an additive manufacturing process, constructing a graph data structure using the in-situ spectral data, and outputting a predicted defect region using the graph data structure and a trained graph-learning neural network.
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公开(公告)号：US10789682B2
公开(公告)日：2020-09-29
申请号：US15625799
申请日：2017-06-16
Applicant: The Boeing Company
Inventor： Yuri Owechko , Qin Jiang
IPC: G06T5/00 , G06T5/40 , G06T7/11 , G06T7/194 , G06T7/20 , G06T5/10 , G06T7/269 , G06T7/215 , G06T5/20
Abstract: Described herein is a method of enhancing an image includes determining a level of environmental artifacts at a plurality of positions on an image frame of image data. The method also includes adjusting local area processing of the image frame, to generate an adjusted image frame of image data, based on the level of environmental artifacts at each position of the plurality of positions. The method includes displaying the adjusted image frame.
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公开(公告)号：US10549853B2
公开(公告)日：2020-02-04
申请号：US15607094
申请日：2017-05-26
Applicant: The Boeing Company
Inventor： Qin Jiang , Yuri Owechko , Kyungnam Kim
Abstract: Described herein is a method of displaying an object that includes detecting a first location of the object on a first image frame of image data. The method also includes determining a second location of the object on a second image frame of the image data on which the object is not detectable due to an obstruction. The method includes displaying a representation of the object on the second image frame.
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