SBIR Phase II: Discovery Analyst: A Data Mining System for Image Databases

SBIR 第二阶段：Discovery Analyst：图像数据库的数据挖掘系统

• 批准号: 0349736
• 负责人: Stuart Blundell
• 金额: $ 50万
• 依托单位: VISUAL LEARNING SYSTEMS INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-01 至 2006-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0349736&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Discovery; Analyst

This Small Business Innovation Research Program Phase II project will develop a highly innovative data mining software tool that is capable of mining imagery and spatial information stored in a database management system (DBMS). Billions of dollars have been spent in converting the world's vast supply of paper maps into digital, geographically referenced, data for geographic information systems (GIS) applications because location matters in almost every instance of decision-making for both government agencies and private sector businesses. The proliferation of relational, spatial, and now visual data from high-resolution satellites, all stored in a common DBMS architecture, offers organizations the opportunity for knowledge discovery in databases; however, the technical challenges of maintaining, navigating, and mining these data are formidable. Current workflow approaches are disjointed and exclusive of image data. The product resulting from this project will allow all of the data to be queried and mined in a holistic workflow approach yielding potential useful discoveries through its primary innovations not presently available in data mining software; 1) Seamless integration of data mining and feature extraction workflows, 2) Mining content of high-resolution earth imagery stored in spatial databases, 3) Cleanup of GIS databases, and 4) Advanced query generation and data mining technology.Market research confirms that companies are investing in data mining software and high- resolution commercial satellite imagery. The proposed product will have commercial applications in both traditional GIS application areas (forestry, defense, civil government, agriculture) and emerging vertical markets for GIS applications (banking and financial, telecommunications, security, manufacturing, retail and healthcare. There is a powerful demand for the knowledge acquisition vital to all location-based government decision-making processes. This significantly impacts the quality of management in our national security, resource handling, and the quality of our environment.

这个小企业创新研究计划第二阶段项目将开发一个高度创新的数据挖掘软件工具，能够挖掘存储在数据库管理系统（DBMS）中的图像和空间信息。为了将世界上大量的纸质地图转换成地理信息系统应用程序所需的地理参考数字数据，已经花费了数十亿美元，因为位置在政府机构和私营部门企业的几乎每一个决策实例中都很重要。来自高分辨率卫星的关系数据、空间数据以及现在的可视化数据都存储在一个通用的DBMS架构中，这为组织提供了在数据库中进行知识发现的机会;然而，维护、导航和挖掘这些数据的技术挑战是巨大的。目前的工作流方法是脱节的，并排除图像数据。这一项目产生的产品将使所有数据都能以整体工作流程方式查询和挖掘，通过数据挖掘软件目前没有的主要创新，产生潜在的有用发现; 1）数据挖掘和特征提取工作流的无缝集成，2）挖掘存储在空间数据库中的高分辨率地球图像的内容，3）GIS数据库的嵌入，和4）先进的查询生成和数据挖掘技术。市场研究证实，公司正在投资数据挖掘软件和高分辨率商业卫星图像。拟议的产品将在传统的GIS应用领域（林业、国防、民政、农业）和新兴的GIS应用垂直市场（银行和金融、电信、安全、制造、零售和医疗保健）都有商业应用。对所有基于地点的政府决策过程至关重要的知识获取有着强大的需求。这对我们的国家安全、资源处理和环境质量的管理质量产生了重大影响。