SYSTEMS AND METHODS FOR OBJECT CLASSIFICATION AND SELECTIVE COMPRESSION IN AERIAL IMAGERY

    公开(公告)号:US20170316282A1

    公开(公告)日:2017-11-02

    申请号:US15499442

    申请日:2017-04-27

    CPC classification number: G06K9/6267 G06K9/00657 G06K9/2018

    Abstract: This disclosure describes a system and a method for assigning pixels within agricultural imagery collected from overhead platforms to one or more classes based on spectral and/or spatial content. The system comprises one or more hardware processors configured by machine-readable instructions to: receive output signals provided by one or more remote sensing devices mounted to an overhead platform, the output signals conveying information related to one or more agricultural images; and assign pixels within the agricultural images to one or more classes based on spectral and/or spatial content of the agricultural images, wherein the one or more classes include a signal class and a noise class.

    SYSTEM AND METHOD FOR CALIBRATING IMAGING MEASUREMENTS TAKEN FROM AERIAL VEHICLES
    12.
    发明申请
    SYSTEM AND METHOD FOR CALIBRATING IMAGING MEASUREMENTS TAKEN FROM AERIAL VEHICLES 有权
    用于校准来自航空器的成像测量的系统和方法

    公开(公告)号:US20170010155A1

    公开(公告)日:2017-01-12

    申请号:US15275194

    申请日:2016-09-23

    Abstract: Systems and methods are provided for calibrating spectral measurements taken of one or more targets from an aerial vehicle. Multiple photo sensors may be configured to obtain spectral measurements of one or more ambient light sources. The obtained spectral measurements of the one or more ambient light sources may be used to calibrate the obtained spectral measurements of the target.

    Abstract translation: 提供了用于校准来自空中飞行器的一个或多个目标的光谱测量的系统和方法。 多个光电传感器可被配置为获得一个或多个环境光源的光谱测量。 所获得的一个或多个环境光源的光谱测量可用于校准所获得的目标光谱测量值。

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