SBIR PHASE II- TOPIC 234- AUTOMATED PATTERN RECOGNITION IN SATELLITE IMAGERY

SBIR 第二阶段 - 主题 234 - 卫星图像中的自动模式识别

• 批准号: 7952599
• 负责人: PIERRE E GOOVAERTS
• 金额: $ 75万
• 依托单位: BIOMEDWARE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-14 至 2011-09-13
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7952599
• 关键词: SBIR; PHASE; II; TOPIC; 234

The goal of this project is to develop the first software specifically designed for the integration, visualization and space-time analYSis of satellite imagery for environmental exposure assessment, providing: a userfriendly interface for importing satellite imagery into existing Space-Time Information System software, automatic identification of environmental exposure patterns through space-time interpolation and discriminant analysis, animated display and query of pattern analysis results, and exploration of relationships between exposure metrics and health outcomes through spatial regression. These functionalities will be incorporated into BibMedware's space-time visualization and analysis technology, making possible investigation of spatio-temporal dynamics inherent in satellite imagery, and going beyond the capabilities of conventional GIS.

该项目的目标是开发第一个专门为集成、可视化而设计的软件 和用于环境暴露评估的卫星图像的时空分析，提供：用户友好的 将卫星图像输入现有时空信息系统软件的接口， 基于时空插值法的环境暴露模式自动识别 判别分析、模式分析结果的动画显示和查询以及关系探索 通过空间回归分析暴露指标和健康结果之间的关系。这些功能将是 融入BibMedware的时空可视化和分析技术，使之成为可能 研究卫星图像中固有的时空动力学，并超越 传统的地理信息系统。