GRK 1564: Imaging New Modalities - Multimodal Image Acquisition and Analysis for Civil Security Applications

GRK 1564：成像新模式 - 民用安全应用的多模式图像采集和分析

• 批准号: 88636816
• 金额: --
• 依托单位: Universität Siegen
• 依托单位国家: 德国
• 项目类别: Research Training Groups
• 财政年份: 2009
• 资助国家: 德国
• 起止时间: 2008-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/88636816?language=en
• 关键词: GRK; 1564; Imaging; New; Modalities

Imaging technologies are one of the most important cross cutting technologies for national and international research activities, high-tech industries and information societies. This is especially true for civil security applications. Here, the primary challenge is the development of highly automated systems, which take the result of the ongoing ethical and legal discussions regarding this topic into account. The field of research within the Research Training Group is structured according to application scenarios and fundamental techniques. There are close methodological interconnections and significant synergies between the individual projects, which obey this structure. New civil security applications require enhanced imaging functionalities, which, as a consequence, require more powerful and efficient concepts regarding both sensor concepts and sensor data processing methodologies. The focal idea of the Research Training Group is to seize recent developments in imaging for different modalities in order to facilitate innovative approaches to the field of civil security applications. The focussed civil security scenarios include person detection and biometry, material detection and analysis, as well as scene observation. The targeted enhancements of civil security systems addresses further functionalities and increased robustness, which can be achieved due to the particular orthogonality and redundancy of the information delivered by the individual sensor modalities. Sensor data processing is the focal point for the Research Training Group, bringing together the potentials of the new sensor technologies and the specific needs of the targeted civil security application. Within this scope, different data processing and information extraction concepts will be comprehensively investigated. Sensor models, as part of the sensor development, deliver essential sensor characteristics as a basis for developing efficient sensor data processing techniques.

成像技术是国内外研究活动、高科技产业和信息社会最重要的交叉技术之一。对于民用安全应用尤其如此。在这里，主要的挑战是高度自动化系统的开发，该系统考虑了有关该主题的持续道德和法律讨论的结果。研究培训小组的研究领域是根据应用场景和基础技术构建的。遵循这种结构的各个项目之间存在密切的方法论相互联系和显着的协同作用。新的民用安全应用需要增强的成像功能，因此需要有关传感器概念和传感器数据处理方法的更强大、更高效的概念。研究培训小组的重点理念是抓住不同模式成像的最新发展，以促进民事安全应用领域的创新方法。重点关注的民用安全场景包括人员检测和生物识别、物质检测和分析以及场景观察。民用安全系统的有针对性的增强解决了进一步的功能和增强的鲁棒性，这是由于各个传感器模式所传递的信息的特定正交性和冗余性而实现的。传感器数据处理是研究培训小组的重点，它将新传感器技术的潜力和目标民用安全应用的具体需求结合起来。在此范围内，将全面研究不同的数据处理和信息提取概念。传感器模型作为传感器开发的一部分，提供基本的传感器特性，作为开发高效传感器数据处理技术的基础。

项目成果

Three-Dimensional Terahertz Imaging With Sparse Multistatic Line Arrays

• DOI: 10.1109/jstqe.2017.2673552
• 发表时间: 2017-07-01
• 期刊: IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
• 影响因子: 4.9
• 作者: Baccouche, Bessem;Agostini, Patrick;Friederich, Fabian
• 通讯作者: Friederich, Fabian

Shape Matching Using Point Context and Contour Segments

• DOI: 10.1007/978-3-319-16817-3_7
• 发表时间: 2014-11
• 作者: Christian Feinen;Cong Yang;O. Tiebe;M. Grzegorzek

Crosstalk characterization of PMD pixels using the spatial response function at subpixel level

使用子像素级空间响应函数表征 PMD 像素的串扰

• DOI: 10.1117/12.2083353
• 发表时间: 2015
• 作者: M. Heredia Conde;K. Hartmann;O. Loffeld
• 通讯作者: O. Loffeld

HMM Imaging: Acquisition, Algorithms, and Applications (Dagstuhl Seminar 17411)

HMM 成像：采集、算法和应用（Dagstuhl 研讨会 17411）

• DOI: 10.4230/dagrep.7.10.14
• 发表时间: 2018
• 期刊: Dagstuhl Reports
• 作者: G. R. Arce;R. Bamler;J. Y. Hardeberg;A. Kolb;S. Beigpour
• 通讯作者: S. Beigpour

Fast antenna-coupled terahertz detectors based on uncooled thermoelements

基于非制冷热电偶的快速天线耦合太赫兹探测器

• DOI: 10.1109/irmmw-thz.2012.6379495
• 发表时间: 2012
• 期刊: 2012 37th International Conference on Infrared, Millimeter, and Terahertz Waves
• 作者: A. K. Huhn;G. Spickermann;A. Ihring;U. Schinkel;H. Meyer;P. Haring Bolívar
• 通讯作者: P. Haring Bolívar