TEMPORALLY ADAPTIVE PROCESSING
    1.
    发明申请
    TEMPORALLY ADAPTIVE PROCESSING 有权
    温和的自适应处理

    公开(公告)号:US20170039446A1

    公开(公告)日:2017-02-09

    申请号:US14820718

    申请日:2015-08-07

    CPC classification number: G06K9/4671 G06T7/20 G06T7/248 H04N5/232 H04N5/23229

    Abstract: A method of image processing for finding a target in a scene includes receiving a series of images from a sensor and computing a background relative velocity in the series of images. The method further includes estimating a hypothesized target relative velocity of the target in the series of images. The method further includes computing a target revisit time based on a difference of the target relative velocity and the background relative velocity. The method further includes adjusting one or more of a frame capture rate or a frame processing rate based on the target revisit time.

    Abstract translation: 用于在场景中找到目标的图像处理方法包括从传感器接收一系列图像并计算该系列图像中的背景相对速度。 该方法还包括估计该系列图像中目标的假设目标相对速度。 该方法还包括基于目标相对速度和背景相对速度的差异来计算目标重访时间。 该方法还包括基于目标重访时间来调整帧捕获率或帧处理速率中的一个或多个。

    Video geolocation
    2.
    发明授权

    公开(公告)号:US09794483B1

    公开(公告)日:2017-10-17

    申请号:US15243216

    申请日:2016-08-22

    Abstract: Systems and methods for identifying root causes for and/or correcting pointing error in moving platform imaging. Scene frames captured by a sensor (e.g., a focal plane array, etc.) are digitally transformed to compensate for relative motion between the scene and platform, then motion residuals are computed based on inter-frame scene gradients, and image eigenfunctions are fit to the motion residuals to compute coefficients that may be used to efficiently correct future image acquisition, determine root cause(s) of pointing (e.g., sensor pointing error, scene mean altitude, platform altitude, etc.) errors, and further digitally correct the captured images. Comparisons may be made to a database of residual transformation coefficients based on known or expected relative motion of the platform to the scene and a known or expected pointing angle. Truly moving targets may be identified, removed and re-added after image digital transformation processing.

    Self-correcting adaptive long-stare electro-optical system
    3.
    发明授权
    Self-correcting adaptive long-stare electro-optical system 有权
    自校正自适应长光电光学系统

    公开(公告)号:US08964047B2

    公开(公告)日:2015-02-24

    申请号:US13903500

    申请日:2013-05-28

    Abstract: An imaging platform minimizes image distortion when there is relative motion of the imaging platform with respect to the scene being imaged where the imaging platform may be particularly susceptible to distortion when it is configured with a wide field of view or high angular rate of movement, or when performing long-stares at a given scene (e.g., for nighttime and low-light imaging.) Distortion correction may be performed by predicting distortion due to the relative motion of the imaging platform, determining optical transformations to prevent the distortion, dynamically adjusting the optics of the imaging platform during exposure, and performing digital image correction.

    Abstract translation: 当成像平台相对于正在成像的场景存在相对运动时,成像平台在被配置为具有宽视野或高角速度运动时可能特别容易受到失真的影响,成像平台使图像失真最小化,或 当在给定的场景(例如,夜间和低光成像时)进行长时间观察时,可以通过预测由于成像平台的相对运动引起的失真来进行失真校正,确定光学变换以防止失真,动态地调整 曝光期间成像平台的光学元件,以及进行数字图像校正。

    Temporally adaptive processing
    4.
    发明授权
    Temporally adaptive processing 有权
    时间自适应处理

    公开(公告)号:US09594978B2

    公开(公告)日:2017-03-14

    申请号:US14820718

    申请日:2015-08-07

    CPC classification number: G06K9/4671 G06T7/20 G06T7/248 H04N5/232 H04N5/23229

    Abstract: A method of image processing for finding a target in a scene includes receiving a series of images from a sensor and computing a background relative velocity in the series of images. The method further includes estimating a hypothesized target relative velocity of the target in the series of images. The method further includes computing a target revisit time based on a difference of the target relative velocity and the background relative velocity. The method further includes adjusting one or more of a frame capture rate or a frame processing rate based on the target revisit time.

    Abstract translation: 用于在场景中找到目标的图像处理方法包括从传感器接收一系列图像并计算该系列图像中的背景相对速度。 该方法还包括估计该系列图像中目标的假设目标相对速度。 该方法还包括基于目标相对速度和背景相对速度的差异来计算目标重访时间。 该方法还包括基于目标重访时间来调整帧捕获率或帧处理速率中的一个或多个。

    SELF-CORRECTING ADAPTIVE LONG-STARE ELECTRO-OPTICAL SYSTEM
    5.
    发明申请
    SELF-CORRECTING ADAPTIVE LONG-STARE ELECTRO-OPTICAL SYSTEM 有权
    自适应长寿命电光系统

    公开(公告)号:US20130335565A1

    公开(公告)日:2013-12-19

    申请号:US13903500

    申请日:2013-05-28

    Abstract: An imaging platform minimizes image distortion when there is relative motion of the imaging platform with respect to the scene being imaged where the imaging platform may be particularly susceptible to distortion when it is configured with a wide field of view or high angular rate of movement, or when performing long-stares at a given scene (e.g., for nighttime and low-light imaging.) Distortion correction may be performed by predicting distortion due to the relative motion of the imaging platform, determining optical transformations to prevent the distortion, dynamically adjusting the optics of the imaging platform during exposure, and performing digital image correction.

    Abstract translation: 当成像平台相对于正在成像的场景存在相对运动时,成像平台在被配置为具有宽视野或高角速度运动时可能特别容易受到失真的影响,成像平台使图像失真最小化,或 当在给定的场景(例如,夜间和低光成像时)进行长时间观察时,可以通过预测由于成像平台的相对运动引起的失真来进行失真校正,确定光学变换以防止失真,动态地调整 曝光期间成像平台的光学元件,以及进行数字图像校正。

Patent Agency Ranking