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: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=643314
• 关键词: Development; innovative; techniques; optical; LiDAR

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.

拟议的研究计划侧重于开发处理最先进遥感图像数据的新技术和技术，以促进不同遥感传感器捕获的数据的分析和工程应用。拟议的工作将启动使用光探测和测距（LiDAR）传感器收集的光学传感器捕获的数据的基础研究。特别是，该研究将有助于开发新的算法和数学模型，以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。该方案提出了一种用于图像配准的遗传算法，以对不同传感器获取的数据进行几何校正和匹配。该项目进一步探索了多光谱激光雷达传感器收集的数据的辐射校正和利用，以及用于信息提取的图像数据处理方法。拟议的研究不仅将开发用于遥感的智能数据处理工具，这可能导致技术转让，而且还将应用开发的技术来服务于几种新兴的环境和建模应用。该研究项目是世界上使用新开发的多光谱激光雷达传感器技术的领先项目之一。这项工作的结果将推动加拿大成为新遥感技术的技术中心，特别是在现有的激光雷达数据处理研究热潮中，并通过其对地理信息产业的支持，为加拿大可持续的基础设施发展做出贡献。