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Auto 3-d complex building detection from satellite imagery

Auto 3-d complex building detection from satellite imagery
根据卫星图像自动检测 3D 复杂建筑
批准号:
351170-2007
负责人:
Saeedi, ParvanehAkhtar
金额:
$3.98万
依托单位:
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2007
资助国家:
加拿大
项目状态:
已结题
起止时间:
2007-01-01 至 2008-12-31

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中文摘要
翻译
从高分辨率光电图像中提取三维几何建筑物信息是众多地理空间应用中的关键要素。实际上,生成3D城市模型是各种应用的需求,例如城市设计的空间分析、军事模拟和特定地理位置的现场监测。多年来,几乎所有开发的3D建筑重建操作方法都是半自动化的,其中熟练的操作人员参与建筑实例的3D几何建模,这是一个耗时的过程。此外,这种方法通常需要立体图像对、图像序列或特定地理位置的激光扫描,以从图像中提取3D模型。最后,与目前的技术,三维几何建模阶段的特点可能是三维建筑物模型的提取与低精度levels.This研究的目的是一个完全自动化的三维结构检测,处理成像的任意视点变化,杂波,和闭塞使用单目全色空气/星载图像。该系统将被设计为处理复杂的形状和干扰所产生的复杂性,由于城市建筑物的紧密联系。从遥感图像中提取几何信息的一致可靠系统有许多应用。其中包括:城市规划和机场危险分析、民用紧急情况缓解、自然灾害管理(洪水、地震和山体滑坡)、军事监视(积极参与武力、反恐和维持和平措施,以及军事地理定位(如健康、犯罪和过去的自然灾害)。
英文摘要
The extraction of 3D geometric building information from high-resolution electro-optical imagery is becominga key element in numerous geospatial applications. Indeed, producing 3D urban models is a requirement for avariety of applications, such as spatial analysis of urban design, military simulation, and site monitoring of aparticular geographic location. Almost all operational approaches developed over the years for 3D buildingreconstruction are semi-automated ones, where a skilled human operator is involved in the 3D geometrymodeling of building instances, a time-consuming process. Further, such approaches usually require stereoimage pairs, image sequences, or laser scanning of a specific geographic location to extract the 3D models fromthe imagery. Finally, with current techniques, the 3D geometric modeling phase may be characterized by theextraction of 3D building models with low accuracy levels.This research aims for a fully automated 3D Structure Detection that copes with imaging of arbitrary viewpointvariations, clutter, and occlusion using monocular panchromatic air/spaceborne images. The system will bedesigned to deal with complications arising from complex shapes and interference due to the close proximity ofurban city buildings. There are numerous applications for a consistent reliable system of extracting geometricinformation from remotely sensed imagery. Some of these include: urban planning and airport hazard analysis,civilian emergency mitigation, natural disaster management (flooding, earthquakes, and landslides), militarysurveillance (active engagement of force, counter terrorism and peace keeping measures, and for statisticalgeographic localization (such as health, crime, and past natural disasters).
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Computer Vision for Infertility Treatment
  • 批准号:
    341371-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2017
  • 负责人:
    Saeedi, ParvanehAkhtar
  • 依托单位:
Computer Vision for Infertility Treatment
  • 批准号:
    341371-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2016
  • 负责人:
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  • 依托单位:
Computer Vision for Infertility Treatment
  • 批准号:
    341371-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2015
  • 负责人:
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  • 依托单位:
Computer Vision for Infertility Treatment
  • 批准号:
    341371-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2014
  • 负责人:
    Saeedi, ParvanehAkhtar
  • 依托单位:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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