CAREER/EPSCoR: Geospatial Database-Driven Extraction of Information from Digital Aerial Imagery

CAREER/EPSCoR：地理空间数据库驱动的数字航空图像信息提取

• 批准号: 9702233
• 负责人: Peggy Agouris
• 金额: $ 32.27万
• 依托单位: University of Maine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-15 至 2002-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9702233&HistoricalAwards=false
• 关键词: CAREER; EPSCoR; Geospatial; Database; Driven

This project aims at the advancement of the ability to extract spatial information from digital aerial imagery by taking advantage of geospatial databases to support and guide object extraction operations. It deals with aerial images representing scenes for which prior or complementary information already exists. Examples of such information are pre-existing digital maps, digital terrain models, and spatial information systems in general. The research plan involves: (1) matching images to existing databases for change detection; (2) analysis of scale differences between database information and image; and (3) developing metadata structures to convey accuracy information for objects contained in geospatial databases. By embedding object extraction processes within the framework of spatial information systems, digital image analysis will be able to exploit the advantages offered by the availability of spatial data from various sources and in diverse formats, and, in turn, contribute to the improvement of the temporal and quantitative quality and completeness of the data contained in those sources. The educational aspect of the project includes initiatives designed to take advantage of and incorporate the project research advancements in the graduate and undergraduate curriculum, as well as in the high-school outreach program of the Department of Spatial Information Engineering. A 3-day workshop, with participation of U.S. and international experts is also planned. Combined, the issues addressed in this project will substantially advance science in digital image processing and analysis, and will complement parallel advancements in a variety of related disciplines, most notably digital libraries, geographic information systems, and remote sensor technology.

该项目旨在提高从数字航空图像中提取空间信息的能力，利用地理空间数据库支持和指导物体提取作业。它处理代表场景的空中图像，对于这些场景，已经存在先验或互补信息。这种信息的例子是现有的数字地图、数字地形模型和一般的空间信息系统。研究计划包括：（1）将图像与现有数据库匹配以进行变化检测;（2）分析数据库信息与图像之间的比例差异;以及（3）开发元数据结构以传达地理空间数据库中所包含的对象的准确性信息。通过在空间信息系统框架内嵌入物体提取过程，数字图像分析将能够利用各种来源和不同格式的空间数据提供的优势，并反过来有助于提高这些来源所载数据的时间和数量质量和完整性。该项目的教育方面包括旨在利用和纳入研究生和本科课程的项目研究进展，以及在空间信息工程系的高中推广计划的举措。还计划举办一个由美国和国际专家参加的为期3天的讲习班。结合起来，这个项目中解决的问题将大大推进数字图像处理和分析的科学，并将补充各种相关学科的平行进步，最显着的是数字图书馆，地理信息系统和遥感技术。