Hyperspectral Imagery: A New Frontier for Windstorm Damage Assessment

高光谱图像：风暴损害评估的新领域

• 批准号: 0800487
• 负责人: Daan Liang
• 金额: $ 15.04万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2013-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0800487&HistoricalAwards=false
• 关键词: Hyperspectral; Imagery; New; Frontier; Windstorm

The objective of this research is to investigate the capability and application of hyperspectral imaging technology to provide accurate and quick identification and quantification of building damage. Compared to optical and multispectral sensors, hyperspectral sensors can acquire simultaneous earth images in more than 200 narrow and often contiguous spectral bands through the ultraviolet, visible and infrared portions of the electromagnetic spectrum. To achieve this objective, the suitability of hyperspectral images to differentiate object classes and to assess the damage severity based on observed spectral changes will be determined. Furthermore, hyperspectral bands? sensing capability will be evaluated in the presence of various forms and degrees of cloud cover. The outcomes are expected to 1) expand the body of knowledge in using remotely sensed data for damage detection and quantification; 2) improve our understanding of the progression of wind hazards and their multi-faceted effects on built environment; 3) provide abundant high quality data much needed to calibrate and validate risk models for insurers and public agencies.The broader impacts of this research are achieved by integrating research in curricular development, enhancement of research infrastructure, increased diversity, and broad dissemination of findings and discoveries. These activities collectively will provide valuable training opportunities for graduate and undergraduate students and will nurture the next generation of experts in wind engineering and remote sensing. They will also contribute to the formulation of efficient and effective strategies for windstorm response, recovery and mitigation that minimize human suffering and economic losses.

本研究的目的是探讨高光谱成像技术的能力和应用，以提供准确和快速的识别和定量的建筑物损坏。与光学和多光谱传感器相比，高光谱传感器可以通过电磁光谱的紫外线、可见光和红外线部分，在200多个狭窄且往往是连续的光谱带中同时获取地球图像。为实现这一目标，将确定高光谱图像是否适合区分物体类别，并根据观测到的光谱变化评估损害严重程度。此外，高光谱波段？将在不同形式和程度的云层覆盖下评估传感能力。 其成果预计将1）扩大使用遥感数据进行损害检测和量化的知识体系; 2）提高我们对风灾害进展及其对建筑环境的多方面影响的理解;第三章为保险公司和公共机构提供校准和验证风险模型所需的丰富高质量数据。这项研究的更广泛影响是通过整合研究来实现的在课程开发方面，加强研究基础设施，增加多样性，广泛传播研究成果和发现。这些活动将共同为研究生和本科生提供宝贵的培训机会，并将培养下一代风力工程和遥感专家。它们还将有助于制定切实有效的应对、恢复和减轻风暴的战略，以尽量减少人类痛苦和经济损失。