TECHNIQUES FOR IMAGE CO-REGISTRATION
    1.
    发明申请

    公开(公告)号:US20180089843A1

    公开(公告)日:2018-03-29

    申请号:US15716425

    申请日:2017-09-26

    发明人: GRZEGORZ MIECZNIK

    IPC分类号: G06T7/32 G06T7/207

    摘要: Techniques for improving image co-registration. One aspect relates to improving Mutual Information techniques by making the histogram bin widths used therein depend on the amount of signal noise. Another aspect relates to populating the bins by integrating the signal probability in each bin. A third aspect relates to converting top-of-the-atmosphere image data to surface reflectance data, and then using surface reflectance data in the Mutual Information technique for determining a correlation surface. The fourth aspect relates to registering higher-resolution images with lower-resolution images by down-sampling the higher-resolution image. The last aspect relates to a technique for determining the accuracy of the co-registration by synthesizing a perfectly-registered image in a second wavelength band from an image in a first wavelength band and then using Mutual Information between the two images to create a correlation surface.

    BATHYMETRIC TECHNIQUES USING SATELLITE IMAGERY
    2.
    发明申请
    BATHYMETRIC TECHNIQUES USING SATELLITE IMAGERY 有权
    使用卫星图像的气象技术

    公开(公告)号:US20150248576A1

    公开(公告)日:2015-09-03

    申请号:US14340389

    申请日:2014-07-24

    IPC分类号: G06K9/00 G06T7/00 G06T11/60

    摘要: Techniques for improving overhead image bathymetry include obtaining depth information from image data based on one or more of the spectral domain, the angular domain (e.g., stereo or photogrammetry), the temporal domain (e.g., monitoring the movement of waves in a body of water), or any other suitable domain, together with a priori information about the area of interest. These different pieces of depth information from the various different domains are combined together using any combination of Optimal Estimation and Continuity Constraints to improve the accuracy of the results.

    摘要翻译: 用于改进开销图像测深的技术包括基于光谱域,角域(例如,立体或摄影测量)中的一个或多个,从时间域(例如,监测水体中的波浪的运动)获得来自图像数据的深度信息 )或任何其他合适的域,以及关于感兴趣区域的先验信息。 使用最优估计和连续性约束的任何组合将来自各种不同域的这些不同的深度信息组合在一起,以提高结果的准确性。