AUTOMATED METRIC INFORMATION NETWORK
    1.
    发明申请
    AUTOMATED METRIC INFORMATION NETWORK 有权
    自动公制信息网络

    公开(公告)号:US20140219514A1

    公开(公告)日:2014-08-07

    申请号:US13762355

    申请日:2013-02-07

    IPC分类号: G06K9/00

    摘要: A Metric Information Network (MIN) with a plurality of Ground Control Points (GCPs) that are selected in an automated fashion. The GCP selection includes clustering algorithms as compared to prior art pair-wise matching algorithms. Further, the image processing that takes place in identifying interest points, clustering, and selecting tie points to be GCPs is all performed before the MIN is updated. By arranging for the processing to happen in this manner, the processing that is embarrassingly parallel (identifying interest points, clustering, and selecting tie points) can be performed in a distributed fashion across many computers and then the MIN can be updated.

    摘要翻译: 具有以自动方式选择的多个地面控制点(GCP)的度量信息网络(MIN)。 与现有技术的成对匹配算法相比,GCP选择包括聚类算法。 此外,在识别兴趣点,聚类和选择连接点之前发生的作为GCP的图像处理都在MIN被更新之前执行。 通过以这种方式安排处理,可以跨越许多计算机以分布式方式执行令人尴尬并行(识别兴趣点,聚类和选择连接点)的处理,然后可以更新MIN。

    Automated metric information network

    公开(公告)号:US09875404B2

    公开(公告)日:2018-01-23

    申请号:US14984613

    申请日:2015-12-30

    IPC分类号: G06K9/00 G01C11/06

    摘要: A Metric Information Network (MIN) with a plurality of Ground Control Points (GCPs) that are selected in an automated fashion. The GCP selection includes clustering algorithms as compared to prior art pair-wise matching algorithms. Further, the image processing that takes place in identifying interest points, clustering, and selecting tie points to be GCPs is all performed before the MIN is updated. By arranging for the processing to happen in this manner, the processing that is embarrassingly parallel (identifying interest points, clustering, and selecting tie points) can be performed in a distributed fashion across many computers and then the MIN can be updated.

    Automated metric information network
    3.
    发明授权
    Automated metric information network 有权
    自动公制信息网络

    公开(公告)号:US09251419B2

    公开(公告)日:2016-02-02

    申请号:US13762355

    申请日:2013-02-07

    IPC分类号: G06K9/00 G01C11/06

    摘要: A Metric Information Network (MIN) with a plurality of Ground Control Points (GCPs) that are selected in an automated fashion. The GCP selection includes clustering algorithms as compared to prior art pair-wise matching algorithms. Further, the image processing that takes place in identifying interest points, clustering, and selecting tie points to be GCPs is all performed before the MIN is updated. By arranging for the processing to happen in this manner, the processing that is embarrassingly parallel (identifying interest points, clustering, and selecting tie points) can be performed in a distributed fashion across many computers and then the MIN can be updated.

    摘要翻译: 具有以自动方式选择的多个地面控制点(GCP)的度量信息网络(MIN)。 与现有技术的成对匹配算法相比,GCP选择包括聚类算法。 此外,在识别兴趣点,聚类和选择连接点之前发生的作为GCP的图像处理都在MIN被更新之前执行。 通过以这种方式安排处理,可以跨越许多计算机以分布式方式执行令人尴尬并行(识别兴趣点,聚类和选择连接点)的处理,然后可以更新MIN。

    AUTOMATED METRIC INFORMATION NETWORK
    4.
    发明申请
    AUTOMATED METRIC INFORMATION NETWORK 有权
    自动公制信息网络

    公开(公告)号:US20160117552A1

    公开(公告)日:2016-04-28

    申请号:US14984613

    申请日:2015-12-30

    IPC分类号: G06K9/00

    摘要: A Metric Information Network (MIN) with a plurality of Ground Control Points (GCPs) that are selected in an automated fashion. The GCP selection includes clustering algorithms as compared to prior art pair-wise matching algorithms. Further, the image processing that takes place in identifying interest points, clustering, and selecting tie points to be GCPs is all performed before the MIN is updated. By arranging for the processing to happen in this manner, the processing that is embarrassingly parallel (identifying interest points, clustering, and selecting tie points) can be performed in a distributed fashion across many computers and then the MIN can be updated.

    摘要翻译: 具有以自动方式选择的多个地面控制点(GCP)的度量信息网络(MIN)。 与现有技术的成对匹配算法相比,GCP选择包括聚类算法。 此外,在识别兴趣点,聚类和选择连接点之前发生的作为GCP的图像处理都在MIN被更新之前执行。 通过以这种方式安排处理,可以跨越许多计算机以分布式方式执行令人尴尬并行(识别兴趣点,聚类和选择连接点)的处理,然后可以更新MIN。