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Graphical Refinement of a Seafloor Photomosaic Generated from an AUV Navigation Model

机译:从AUV导航模型产生的海底光瘤的图形细化

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A set of Matlab tools were developed to create seafloor mosaics from AUV photosurveys. The resulting mosaic products are used to guide instrument placement, ground-truth acoustic backscatter targets, and inspect sensor packages or other targets. Because of the positional sensitivity of these tasks, effort has been made to preserve the geographic distribution of the image content. After initial image preprocessing, the images are combined with vehicle navigation. Sensor offsets can be assessed graphically and corrected as necessary. Control points observed between images are used to compute an updated navigation model, and the resulting corrected navigation can be used for multibeam processing and further mosaic processing. An additional utility was developed to use the corrected navigation as a starting point for a graphical refinement of the mosaic data. Automatic feature matching is applied to find additional connections between neighboring images, and the resulting ties are used to adjust image placement. Limits are imposed to prevent false matches from shifting images from their geographic references. At any step of the process, a mosaic can be exported in GeoTIFF format for input into GIS software.
机译:开发了一套MATLAB工具,以创建来自AUV Photoscurveys的海底马赛克。由此产生的马赛克产品用于引导仪器放置,地面真实声反向散射目标,以及检查传感器封装或其他目标。由于这些任务的位置敏感性,已经努力保持图像内容的地理分布。在初始图像预处理之后,图像与车辆导航组合。传感器偏移可以根据需要以图形方式进行评估和校正。在图像之间观察到的控制点用于计算更新的导航模型,并且可以使用得到的校正导航来用于多滨处理和进一步的拼接处理。开发了一个额外的实用程序以使用校正的导航作为马赛克数据的图形细化的起点。自动功能匹配用于查找相邻图像之间的附加连接,并使用得到的绑定来调整图像放置。施加限制以防止从地理参考转移图像的假匹配。在该过程的任何步骤中,可以以地理灯格式导出MOSAIC以输入GIS软件。

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