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

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:
$50.0万
依托单位:
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
项目状态:
已结题
起止时间:
2004-02-01 至 2006-01-31

项目摘要

项目成果

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中文摘要
翻译
这个小企业创新研究计划第二阶段项目将开发一种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为地理信息系统(GIS)应用的数字地理参考数据,已经花费了数十亿美元,因为无论对政府机构还是私营企业来说,地理位置几乎在每一个决策实例中都很重要。来自高分辨率卫星的关系、空间和现在的可视化数据的激增,所有这些数据都存储在一个通用的DBMS体系结构中,为组织提供了在数据库中发现知识的机会;然而,维护、导航和挖掘这些数据的技术挑战是艰巨的。当前的工作流方法是脱节的,并且不包含图像数据。从这个项目产生的产品将允许所有的数据被查询和挖掘在一个整体的工作流程的方法,产生潜在的有用的发现,通过其主要的创新目前尚无数据挖掘软件;1)数据挖掘与特征提取工作流无缝集成;2)空间数据库高分辨率地球影像内容挖掘;3)GIS数据库清理;4)高级查询生成与数据挖掘技术。市场研究证实,公司正在投资于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、民间政府、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)中有商业应用。对所有基于位置的政府决策过程至关重要的知识获取有强大的需求。这对我们国家安全、资源处理和环境质量的管理质量产生了重大影响。
英文摘要
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.
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 负责人:
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