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Development of innovative techniques for optical and LiDAR sensor data processing

Development of innovative techniques for optical and LiDAR sensor data processing
开发光学和激光雷达传感器数据处理的创新技术
批准号:
RGPIN-2015-03960
负责人:
AbdElrahman, Ahmed
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
翻译
拟议的研究计划侧重于处理最先进的遥感图像数据的新技术和技术的发展,以促进不同遥感传感器捕获的数据的分析和工程应用。拟议的工作将启动基础研究,以使用光学传感器捕获的数据,以及使用光探测和测距(LiDAR)传感器收集的数据。特别是,这项研究将有助于开发新的算法和数学模型,解决不同遥感传感器,特别是新开发的多光谱激光雷达传感器收集的数据的几何和辐射校正问题。该计划提出了一种遗传算法的图像配准的几何校正和匹配不同传感器采集的数据的发展。该计划进一步探讨了辐射校正和利用多光谱激光雷达传感器收集的数据和图像数据处理方法,以提取信息。拟议的研究不仅将为遥感开发智能数据处理工具,这可能导致技术转让,而且还将应用开发的技术为几个新兴的环境和建模应用服务。拟议的研究计划是世界上使用新开发的多光谱LiDAR传感器技术的领先计划之一。这项工作的成果将推动加拿大成为新的遥感技术的技术中心,特别是在激光雷达数据处理方面的现有研究热潮,并通过其对地理信息产业的支持,促进加拿大可持续的基础设施发展。
英文摘要
The proposed research program focuses on the developments of new techniques and technologies for processing state-of-the-art remote sensing image data to facilitate the analysis and engineering applications of data captured by different remote sensing sensors. The work proposed will initiate fundamental research for the use of data captured by optical sensors with data collected using the Light Detection and Ranging (LiDAR) sensors. In particular, the research will contribute to the development of new algorithms and mathematical models that address the problem of geometric and radiometric correction of the data collected by different remote sensing sensors, particularly the newly developed multi-spectral LiDAR sensors. The program proposes the development of a genetic algorithm for image registration to geometrically correct and match data acquired by different sensors. The program further explores the radiometric correction and utilization of data collected by multi-spectral LiDAR sensors and methodologies for image data processing for information extraction. The proposed research not only will develop intelligent data processing tools for remote sensing, which can potentially lead to technology transfer, but also apply the developed techniques to serve several emerging environmental and modelling applications. The proposed research program is one of the leading programs in the world using the newly developed multi-spectral LiDAR sensor technologies. The outcome of the work will advance Canada as a technology hub for new remote sensing technologies, particularly for the existing research boom in LiDAR data processing and contribute to Canadian sustainable infrastructure development through its support to the geo-information industry.
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Advanced techniques for hyperspectral/LiDAR sensor data integration
  • 批准号:
    RGPIN-2020-05857
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2022
  • 负责人:
    AbdElrahman, Ahmed
  • 依托单位:
Advanced techniques for hyperspectral/LiDAR sensor data integration
  • 批准号:
    RGPIN-2020-05857
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2021
  • 负责人:
    AbdElrahman, Ahmed
  • 依托单位:
Advanced techniques for hyperspectral/LiDAR sensor data integration
  • 批准号:
    RGPIN-2020-05857
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2020
  • 负责人:
    AbdElrahman, Ahmed
  • 依托单位:
Development of innovative techniques for optical and LiDAR sensor data processing
  • 批准号:
    RGPIN-2015-03960
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2018
  • 负责人:
    AbdElrahman, Ahmed
  • 依托单位:
海外基金