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

这个为期三年的计算机视觉美法合作研究奖项涉及南加州大学(USC)机器人和智能系统研究所的Isaac Cohen，南加州大学和喷气推进实验室的Roberto Manduchi，以及法国Rocquencourt信息学和应用数学研究所(INRIA)的项目空气主任Isabelle Herlin。美国和法国的研究小组将解决通过卫星遥感获得的环境图像序列中的时间变化的检测和表征问题。这些环境问题涉及植被和林业监测，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。这一建议将这项工作扩展到植被和森林图像中用于纹理变化检测的图像属性的表征，以及云和海洋-大气交换等非刚性运动现象的物理属性的确定。美国调查人员将光流、变分方法和纹理建模方面的专业知识带到了这次合作中。法国队在非刚性运动，特别是云的运动方面的专业知识补充了这一点。该项目还利用了法国小组提供的陆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的计算机视觉工具。该奖项代表了美方向美国国家科学基金会和法国国家信息学和应用数学研究所(INRIA)提出的联合建议。NSF将支付美国调查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。

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.