POPULATION ESTIMATES FROM REMOTELY SENSED DATA

根据遥感数据估算人口

• 批准号: 6017692
• 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: 1999
• 资助国家: 美国
• 起止时间: 1999-09-30 至 2000-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6017692
• 关键词: artificial intelligence; computer data analysis; computer program /software; geographic site; human population density; human population distribution; image processing; information systems; technology /technique development; telecommunications

The principal objectives of this SBIR proposal are to design, test and market an automated system for producing current population estimates from remotely sensed data. A procedure to transform both aerial photography and low cost, high resolution satellite imagery by combining image processing technology and demographic estimation techniques may make it feasible to provide monthly population estimates for any user- defined area in the United States or Canada. The project's key innovation involves the unique combination of image processing technology, demographic estimation techniques and remotely sensed data resulting in a radically new and more robust, empirically-based method for obtaining current population estimates. Specific goals of this Phase I proposal include: 1) installing and testing image processing software, 2) calibrating software to 1-meter aerial photographic test data, 3) evaluation of pattern recognition algorithms in identifying housing units, and 4) validation and calibration of housing estimates at selected Ohio and Nevada test sites. Since the majority of commercially available population estimates are based on either often outdated administrative records and symptomatic indicators or presumptive mathematical procedures, any process which can generate estimates from empirica!ly-based, current housing unit counts will have enormous commercial potential. PROPOSED COMMERCIAL APPLICATIONS: The creation of a rapid, low cost, computerized procedure for deriving population estimates of user defined areas based on current, remotely sensed data will be of strategic importance to a wide range of commercial interests seeking "up-to-the-minute" counts and measures of population change for wide ranging purposes including site location and precise estimates of market size.

这项SBIR建议的主要目标是设计、测试和销售一个自动化系统，用于根据遥感数据对当前人口进行估计。通过结合图像处理技术和人口估计技术来转换航空摄影和低成本、高分辨率卫星图像的程序可以使提供美国或加拿大任何用户定义区域的每月人口估计成为可行。该项目的主要创新之处是将图像处理技术、人口估计技术和遥感数据独特地结合起来，从而产生了一种全新的、更可靠的、基于分析的方法，用于获得当前的人口估计数。本第一阶段提案的具体目标包括：1）安装和测试图像处理软件，2）根据1米航空摄影测试数据校准软件，3）评估识别住房单元的模式识别算法，以及4）在选定的俄亥俄州和内华达州测试地点验证和校准住房估计。由于大多数商业上可获得的人口估计数要么是基于往往过时的行政记录和症状指标，要么是基于假定的数学程序，因此，任何能够从人口普查数据中产生估计数的程序都是不可能的。以土地为基础，目前的住房单位数量将具有巨大的商业潜力。拟议的商业应用：建立一种快速、低成本、计算机化的程序，根据当前遥感数据得出用户界定区域的人口估计数，对于寻求“最新”人口统计和人口变化计量的各种商业利益集团具有战略重要性，这些商业利益集团的目的范围很广，包括选址和精确估计市场规模。