IGMS: Research and Studies in Digital Signal and Image Processing

首席研究员是一名统计学教授，他将参加数字信号和图像处理以及遥感图像中的自动物体识别等领域的强化研究方案。 这些领域的一些关键数学工具，即贝叶斯层次分析、空间建模、统计模式识别和信息论，都在PI的专业知识范围内。 然而，任何两个学科之间富有成效的跨学科研究合作需要每个研究人员都有对方领域的基本知识。该补助金将允许PI参加课程和研讨会，以更好地了解信号测量过程（雷达系统，GPS系统和其他遥感技术），并学习这些领域的技术术语。PI将与电气工程系信息处理系统（IPS）实验室的教师进行定期讨论，以制定自动目标识别技术的长期跨学科研究议程。PI还将定期与俄亥俄州州立大学制图中心（CFM）的研究人员进行互动，以了解地理图像自动判读中的技术问题。该IGMS赠款预计准备PI是一个非常有效的跨学科研究人员在这些领域，所有这些都是未来高科技发展的关键投入。PI认为长期参与工程系是一个机会，可以识别工程专业本科生和研究生的概率/统计教育问题，反之亦然。他计划与IPS教师合作开发相关课程，以促进这两个学科未来研究人员之间的跨学科研究。 该IGMS项目由MPS多学科活动办公室（OMA）和数学科学部（DMS）共同支持。

The Principal Investigator, a Professor of Statistics, will engage in an intensive study program in the areas of digital signal and image processing and automatic object recognition in remotely sensed images. Some of the key mathematical tools in these areas, namely, Bayesian hierarchical analysis, spatial modeling, statistical pattern recognition, and information theory, are within the realm of the PI's expertise. However, a productive interdisciplinary research collaboration between any two disciplines requires each researcher to have a basic knowledge of the other area. This grant will allow the PI to attend courses and symposia tobetter understand signal measurement processes (radar systems, GPS systems and other remote-sensing technologies), and to learn technical terminology in these areas. The PI will conduct regular discussions with faculty in the Information Processing Systems (IPS) Laboratory, Department of Electrical Engineering, in order to develop a long-term interdisciplinary research agenda for Automatic Target Recognition technologies. The PI will also interact regularly with researchers at the Ohio State University's Center for Mapping (CFM) in order to develop an understanding of technical issues in automatic interpretation of geographic images. This IGMS grant is expected to prepare the PI to be a highly effective interdisciplinaryresearcher in these areas, all of which are critical inputs to future high tech developments. The PI considers the long-term involvement with Engineering faculty as an opportunity to identify problems related toprobability/statistics education for undergraduate and graduate students in engineering, and vice-versa. He plans to work with the IPS faculty to develop relevant courses in order to facilitate interdisciplinary research between future researchers in these two disciplines. This IGMS project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).