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Computer vision systems and methods for geospatial property feature detection and extraction from digital images

机译:地理空间特征检测和数字图像提取的计算机视觉系统和方法

摘要

Systems and methods for property feature detection and extraction using digital images. The image sources could include aerial imagery, satellite imagery, ground-based imagery, imagery taken from unmanned aerial vehicles (UAVs), mobile device imagery, etc. The detected geometric property features could include tree canopy, pools and other bodies of water, concrete flatwork, landscaping classifications (gravel, grass, concrete, asphalt, etc.), trampolines, property structural features (structures, buildings, pergolas, gazebos, terraces, retaining walls, and fences), and sports courts. The system can automatically extract these features from images and can then project them into world coordinates relative to a known surface in world coordinates (e.g., from a digital terrain model).
机译:使用数字图像的属性特征检测和提取的系统和方法。图像源可能包括空中图像,卫星图像,地面图像,从无人驾驶飞行器(无人机),移动设备图像等中取出的图像。检测到的几何房地产特征可能包括树冠,池和其他水体,混凝土平整美化分类(砾石,草,混凝土,沥青等),蹦床,房地产结构特征(结构,建筑物,凉棚,凉亭,露台,挡土墙和围栏)和体育法院。该系统可以自动从图像中提取这些特征,然后可以将它们投射到世界坐标中的世界坐标(例如,从数字地形模型中的已知表面)。

著录项

  • 公开/公告号US11062166B2

    专利类型

  • 公开/公告日2021-07-13

    原文格式PDF

  • 申请/专利权人 GEOMNI INC.;

    申请/专利号US201816214633

  • 申请日2018-12-10

  • 分类号G06K9/46;G06K9;G06K9/32;G06T3/40;G06T7/60;G06T17/05;G06T7/80;

  • 国家 US

  • 入库时间 2022-08-24 19:54:16

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