遇见数据集

OC 2020 TC/CIR Ortho Image Service

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<div>BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE <u><a href='https://www.oakgov.com/open-data-terms' rel='nofollow ugc'>TERMS OF USE</a></u><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'>. </span><br /></div><div><br /></div>The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International during the Spring of 2020. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a customer-provided LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.

使用本网站或其中包含的内容,即表示您同意<a href="https://www.oakgov.com/open-data-terms" rel="nofollow ugc">使用条款</a>。<br /><br />本数据集由Pictometry International于2020年春季拍摄的天底(nadir)影像生成的分幅正射影像组成。本次处理已执行自动空中三角测量(AAT),并将三角测量后的影像帧校正至用户提供的激光雷达(LiDAR)生成的数字高程模型(DEM)。本次数据集采用自动接缝算法完成影像镶嵌,并通过手动编辑尽可能消除高程地物处的拼接缝隙。

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