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Software system development for high-resolution change detection using images with different viewing angles and geometries

Software system development for high-resolution change detection using images with different viewing angles and geometries
使用不同视角和几何形状的图像进行高分辨率变化检测的软件系统开发
批准号:
514305-2017
负责人:
Zhang, Yun
金额:
$9.11万
依托单位:
依托单位国家:
加拿大
项目类别:
Idea to Innovation
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
变化检测是遥感的一个重要应用。更新、详细和准确的变化检测对于几乎所有与地理相关的应用都很重要,包括环境评估、自然资源调查、城市规划、地图更新,甚至财产税估算。数十亿美元用于收集高分辨率图像以监测地球上的变化。然而,超过95%的高分辨率(米到亚米)遥感图像不能有效地用于变化检测,因为他们的视角和/或传感器的几何形状的差异。这项研究的主要目标是推进我们正在申请专利的技术,以实现一个商业上可行的软件包,可用于遥感用户使用高分辨率图像进行准确的变化检测,无论其视角和几何差异。I2 I第一阶段项目的成功完成将填补变更检测软件市场的一个重要空白。
英文摘要
Change detection is a critical application in remote sensing. Updated, detailed, and accurate change detection is important for almost all geo-related applications, including environmental assessment, natural resource investigation, urban planning, map updating, and even property tax estimation. Billions of dollars have been spent to collect high-resolution images for monitoring the changes on Earth. However, more than 95% of high-resolution (meter to sub-meter) remote sensing images cannot be effectively used for change detection, because of their viewing angle and/or sensor geometry differences. The main objective of this research is to advance our patent-pending technology to achieve a commercially-viable software package that can be utilized by remote sensing users to perform accurate change detection using high resolution images regardless of their viewing angle and geometry differences. The successful completion of this I2I Phase 1 project will fill an important gap in the change detection software market.
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Development of a Universal Tri-level and Tri-sensor Fusion Solution to Retrieve High Resolution Hyperspectral Images for all Platforms
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    RGPIN-2021-03164
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
Development of a Universal Tri-level and Tri-sensor Fusion Solution to Retrieve High Resolution Hyperspectral Images for all Platforms
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  • 项目类别:
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  • 资助金额:
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  • 项目类别:
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  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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  • 批准号:
    RGPIN-2016-03662
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2019
  • 负责人:
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