课题基金 / 基金详情

EXPOSURE ASSESSMENT USING HYPERSPATIAL IMAGERY

EXPOSURE ASSESSMENT USING HYPERSPATIAL IMAGERY
使用超空间图像进行暴露评估
批准号:
6212280
负责人:
Geoffrey M. Jacquez
金额:
$10.26万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2001-02-28

项目摘要

项目成果

Geoffrey M. Jacquez的其他基金

相关文献

中文摘要
翻译
该项目将利用超空间、超光谱技术开发环境暴露评估方法和软件,以前所未有的光谱和空间分辨率量化环境。分辨率的这一巨大飞跃对于提高我们记录、监测和模拟环境暴露的能力具有巨大的潜力。研究将:(1)进行需求分析,以确定最佳的空间方法和功能纳入软件。(2)开发和测试软件原型,以评估所提出的方法的可行性。(3)根据原型的结果构建、测试和实施一个完整的软件包。(4)应用该软件和方法来演示该方法及其在环境暴露评估中的独特优势。第一阶段的研究将解决前两个目标;一旦可行性得到证明,目标三和四将在第二阶段完成。该项目的技术和科学创新有望彻底改变我们回答什么、在哪里、什么时候问题的能力,这些问题是环境暴露评估的关键问题。拟议的商业应用:目前使用的多光谱图像在10- 30米的空间分辨率下分辨不到10个波段(波长间隔)。新一代超光谱、超空间传感器将在整个地球仪上以1至10平方米的像素大小分辨200个或更多波段。目前还没有软件包可以分析这些丰富的、高分辨率的、多变量的数据来进行暴露评估。这一计划抓住了这一商业机会。
英文摘要
This project will develop methods and software for environmental exposure assessment using hyperspatial, hyperspectral technology that quantifies the environment at unprecedented spectral and spatial resolution. This quantum leap in resolution has enormous potential for improving our ability to document, monitor and model environmental exposures. The research will: (1) Conduct a requirements analysis to identify the optimal spatial methods and functionality to incorporate in the software. (2) Develop and test a software prototype to evaluate feasibility of the proposed approaches. (3) Build, test and implement a complete software package based on results of the prototype. (4) Apply the software and methods to demonstrate the approach and its unique benefits for environmental exposure assessment. The phase 1 research will address the first two aims; aims three and four will be accomplished in Phase 2 once feasibility is demonstrated. The technologic and scientific innovations from this project are expected to revolutionize our ability to answer the what, where, when questions that are the key problems underlying environmental exposure assessment. PROPOSED COMMERCIAL APPLICATIONS: Currently used multispectral imagery resolve fewer than 10 bands (wavelength intervals) at spatial resolutions of 10-30m. The new generation of hyperspectral, hyperspatial sensors will resolve 200 or more bands at pixel sizes from 1 to 10 square meters across the entire globe. There currently are no software packages that analyze these rich, high resolution, multivariate data for purposes of exposure assessment. This proposal addresses this commercial opportunity.
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