U.S.-France Cooperative Research (INRIA): Detection and Characterization of Temporal Changes in Satellite Image Sequences

美法合作研究（INRIA）：卫星图像序列时间变化的检测和表征

• 批准号: 0004494
• 负责人: Isaac Cohen
• 金额: $ 2.45万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-15 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0004494&HistoricalAwards=false
• 关键词: U.S.; France; Cooperative; Research; INRIA

0004494CohenThis three-year award for U.S.-France cooperative research in computer vision involves Isaac Cohen of the Institute for Robotics and Intelligent Systems at the University of Southern California (USC), Roberto Manduchi of USC and the Jet Propulsion Laboratory, and Isabelle Herlin, Director of the Projet Air at the Institute for Research in Informatics and Applied Mathematics (INRIA) at Rocquencourt, France. The US and French research teams will address the problem of detection and characterization of temporal change in environmental image sequences obtained through satellite remote sensing. The environmental problems in question involve vegetation and forestry monitoring, and ocean/atmospheric sciences.Computer vision techniques are widely used for detecting and characterizing temporal changes in images. This proposal extends this work to the characterization of image properties for texture change detection as found in vegetation and forest images, and to the determination of physical properties for non rigid motion phenomena such as clouds, and ocean-atmosphere exchanges. The US investigators bring to this collaboration expertise in optical flow, variational methods and texture modeling. This is complemented by the French team's expertise in non rigid motion in general and the motion of clouds in particular. The project also takes advantage of access to Landsat remote sensing images and ground truth measures provided by the French team. The project will advance understanding of methods and techniques for automatic analysis of satellite images and lead to development of new computer vision tools for use in earth systems science research This award represents the US side of a joint proposal to the NSF and the French National Institute for Research in Informatics and Applied Mathematics (INRIA). NSF will cover travel funds and living expenses for the US investigators and graduate student. INRIA will support the visits of French researchers to the United States.

0004494科恩美国-法国在计算机视觉方面的合作研究涉及南加州大学（USC）机器人与智能系统研究所的Isaac Cohen、南加州大学和喷气推进实验室的Roberto Manduchi以及法国罗昆古信息学与应用数学研究所（INRIA）Projet Air主任Isabelle Herlin。 美国和法国研究团队将解决通过卫星遥感获得的环境图像序列中时间变化的检测和表征问题。 环境问题涉及植被和森林监测以及海洋/大气科学。计算机视觉技术被广泛用于检测和表征图像中的时间变化。 该建议将这项工作扩展到表征图像属性的纹理变化检测中发现的植被和森林图像，并确定非刚性运动现象，如云，海洋-大气交换的物理特性。美国研究人员带来了光流，变分方法和纹理建模的专业知识。 法国团队在非刚性运动方面的专业知识，特别是云的运动，对这一点起到了补充作用。 该项目还利用了法国小组提供的大地卫星遥感图像和地面实况测量。 该项目将促进对卫星图像自动分析方法和技术的理解，并导致开发用于地球系统科学研究的新计算机视觉工具。 NSF将支付美国研究人员和研究生的旅费和生活费。 INRIA将支持法国研究人员访问美国。