Development of the Sensor Environment Imaging (SENSEI) Instrument

开发传感器环境成像（SENSEI）仪器

• 批准号: 1456638
• 负责人: Maxine Brown
• 金额: $ 300万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1456638&HistoricalAwards=false
• 关键词: Development; Sensor; Environment; Imaging; SENSEI

This project, developing SENSEI (SENSor Environment Imaging), an instrument that targets a broad range of big data science and engineering challenges, promises a unique sensor platform for 2D and 3D recording within dynamic environments. SENSEI contributes to a broad range of data-driven application domains. These range from fundamental research in instrument design and development to data processing, fusion and synthesis, enabling not only the creation of the instrument, but also its use as a resource for multi-domain science and engineering on the ground, in the air, and underwater.Specifically, SENSEI is a spherical, (ultra) high-resolution (9-times-IMAX resolution and ~terapixel/minute flood of imagery), vision-based capture system capable of video-rate data-acquisition. The instrument will address domain challenges in science, engineering, medicine, and beyond by enabling investigation of big data acquisition, streaming, processing, archiving and access, visualization, and analytics.The broader significance of this project will be felt in a variety of image-intensive scientific disciplines. The areas of environmental monitoring, remote sensing, situational awareness, homeland security, and mechanical and structural engineering can greatly benefit from the proposed instrument. The instrument will be designed for replication by the global community of researchers and the graduate students. The technology will be communicated through classes, projects, theses, publications, as well as museum exhibits and conferences. Special attention has been paid to broadening participation through the Minority Serving Institutions Cyber-Infrastructure Empowerment Coalition (MSI-CIEC).

该项目开发了 SENSEI（传感器环境成像），这是一种针对广泛的大数据科学和工程挑战的仪器，有望为动态环境中的 2D 和 3D 记录提供独特的传感器平台。 SENSEI 为广泛的数据驱动应用领域做出了贡献。这些范围从仪器设计和开发的基础研究到数据处理、融合和综合，不仅能够创建仪器，而且还能够将其用作地面、空中和水下多领域科学和工程的资源。具体来说，SENSEI 是一种球形、（超）高分辨率（9 倍 IMAX 分辨率和约万亿像素/分钟的图像洪流）、基于视觉的捕获系统，能够 视频速率数据采集。该仪器将通过支持大数据采集、流传输、处理、归档和访问、可视化和分析的研究来解决科学、工程、医学等领域的挑战。该项目的更广泛意义将在各种图像密集型科学学科中体现。环境监测、遥感、态势感知、国土安全以及机械和结构工程领域可以从拟议的仪器中受益匪浅。该仪器将被设计供全球研究人员和研究生社区进行复制。 该技术将通过课程、项目、论文、出版物以及博物馆展览和会议进行传播。我们特别关注通过少数族裔服务机构网络基础设施赋权联盟 (MSI-CIEC) 扩大参与。