Radiometric correction of multispectral Lidar data

多光谱激光雷达数据的辐射校正

• 批准号: 445889-2013
• 负责人: AbdElrahman, AhmedShaker
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=536028
• 关键词: Radiometric; correction; multispectral; Lidar; data

Existing LiDAR sensors utilize single frequency of laser pulse for data acquisition. Multispectral airborne LiDAR sensors are recently manufactured to acquire data in different infrared spectrum. Due to the system and environmental-induced distortions, the data collected from such LiDAR sensors has systematic and random noises. In order to maximize the benefits of using the multispectral LiDAR sensor for surface classification and derivation of bio-physical indices, certain data calibration and correction schemes should be applied to the collected LiDAR data. This ENGAGE grant facilitates the efforts to investigate the radiometric quality of the data collected by the multispectral LiDAR sensor. In addition, the grant proposing practical data correction scheme based on radiometric correction and normalization models. The project would facilitate the deployment

现有的激光雷达传感器利用单频激光脉冲进行数据采集。为了获取不同红外光谱的数据，近年来研制了多光谱机载激光雷达传感器。由于系统和环境引起的畸变，从这种激光雷达传感器收集的数据具有系统和随机噪声。为了最大限度地发挥多光谱激光雷达传感器在地表分类和生物物理指标推导中的优势，需要对采集到的激光雷达数据采用一定的数据校准和校正方案。这项ENGAGE资助有助于研究多光谱激光雷达传感器收集的数据的辐射质量。此外，本课题还提出了基于辐射校正和归一化模型的实用数据校正方案。该项目将促进部署