Digital Elevation Models for Population Estimates

探索从遥感数据得出人口估计的可行性的研究表明，可以识别城市景观中的对象，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生成用于自动检测对象的输入文件方面的技术缺陷。该问题涉及将高分辨率图像转换为数字高程模型(DEM)时所使用的假设和技术。DEM文件作为用于检测住房单元的程序的输入。如果没有明确和明确的DEM，正确识别住房单位的工作既耗时又容易出错。第一阶段SBIR应用的目标是进一步改进、加强和测试将卫星和航空图像转换为数字高程模型(DEM)所使用的软件。DEM文件作为用于检测住房单元的程序的输入。如果没有明确和明确的DEM，正确识别住房单位的工作既耗时又容易出错。第一阶段SBIR应用程序的目标是进一步改进、加强和测试将卫星和航空图像转换为数字高程模型所使用的软件。这一第一阶段提案的具体目标包括：1)修改新的假设并将其编码到DEM软件中；2)在新的Sub1航空影像上测试数字高程代码的准确性和可靠性；3)设计一个新的图形用户界面，用于DEM建设的前处理阶段。拟议的商业应用：如果将这项具体研究视为更大努力的一部分，以生产一个自动化系统，根据当前的遥感数据得出用户定义区域的人口估计，则最能理解这项具体研究的商业价值。这样的制度将服务于寻求“最新”人口和住房变化统计和措施的广泛的商业利益。

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.