Digital Elevation Models for Population Estimates

用于人口估算的数字高程模型

• 批准号: 6443114
• 负责人: JERRY W WICKS
• 金额: $ 10万
• 依托单位: SENECIO SOFTWARE, INC.
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-05-01 至 2002-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6443114
• 关键词: altitude; artificial intelligence; bioimaging /biomedical imaging; computer data analysis; computer graphics /printing; computer human interaction; computer program /software; computer system design /evaluation; digital imaging; environment; geographic site; human population distribution; mathematical model; population survey; urban area

Research exploring the feasibility of deriving population estimates from remotely sensed data demonstrates that objects in the urban landscape can be identified and incorporated into a population estimates system based on the housing unit method. Nonetheless, this research also reveals shortcomings in the technology producing the input files used in the automatic detection of objects. The problem involves the assumption and techniques used when converting high resolution images into digital elevation models (DEM). DEM files serve as input to the programs used in the detection of housing units. Efforts to correctly identify housing units are time-consuming and error-prone without clear and distinct DEMs. The objectives of this Phase I SBIR application are to further refine strengthen and test the software employed in transforming satellite and aerial imagery into digital elevation model (DEMs). DEM files serve as input to the programs used in the detection of housing units. Efforts to correctly identify housing units are time-consuming and error-prone without clear and distinct DEMs. The objectives of this Phase I SBIR application are to further refine, strengthen and test the software employed in transforming satellite and aerial imagery into digital elevation models. Specific goals of this Phase I proposal include: 1) modifying and coding new assumptions into the DEM software, 2) testing the accuracy and reliability of the digital elevation code on new sub1, aerial imagery, and 3) designing a new GUI for use in the pre- processing phase of DEM building. PROPOSED COMMERCIAL APPLICATIONS: The commercial value of this specific research is best understood when viewed as part of a larger effort to produce an automated system for deriving population estimates of user defined areas based on current, remotely sensed data. Such a system will serve a wide range of commercial interests seeking "up-to-the-minute" counts and measures of population and housing change.

对从遥感数据中得出人口估计数的可行性进行的研究表明，可以确定城市景观中的物体，并将其纳入基于住房单元法的人口估计系统。尽管如此，这项研究也揭示了在自动检测对象中使用的输入文件的技术的缺点。这个问题涉及到的假设和技术时使用的转换高分辨率图像到数字高程模型（DEM）。DEM文件作为用于检测住房单元的程序的输入。如果没有清晰的数字高程模型，正确识别住房单元的工作既费时又容易出错。第一阶段SBIR应用的目标是进一步完善、加强和测试用于将卫星和航空图像转换为数字高程模型的软件。DEM文件作为用于检测住房单元的程序的输入。如果没有清晰的数字高程模型，正确识别住房单元的工作既费时又容易出错。第一阶段SBIR应用的目标是进一步完善、加强和测试用于将卫星和航空图像转换为数字高程模型的软件。第一阶段提案的具体目标包括：1）修改DEM软件中的新假设并将其编码，2）在新的子1、航空影像上测试数字高程码的准确性和可靠性，以及3）设计用于DEM构建的预处理阶段的新GUI。拟议的商业应用：这项具体研究的商业价值最好是作为一项更大努力的一部分来理解，这项努力是为了建立一个自动化系统，根据目前的遥感数据对用户确定的地区进行人口估计。这样一个系统将服务于广泛的商业利益，寻求“最新”的人口和住房变化计数和措施。