Hyperspectral Imagery: A New Frontier for Windstorm Damage Assessment

本研究的目的是探讨高光谱成像技术在提供准确、快速的建筑物损伤识别和量化方面的能力和应用。与光学和多光谱传感器相比，高光谱传感器可以通过电磁波谱的紫外、可见光和红外部分，同时获得200多个狭窄且通常连续的光谱带的地球图像。为了实现这一目标，将确定高光谱图像在区分物体类别和基于观测到的光谱变化评估损伤严重程度方面的适用性。此外，高光谱波段？将在存在不同形式和程度的云覆盖的情况下评估传感能力。研究结果有望：(1)扩大利用遥感数据进行损伤检测和量化的知识体系；2)提高我们对风害的发展及其对建筑环境的多方面影响的认识；3)为保险公司和公共机构提供校准和验证风险模型所需的大量高质量数据。这项研究的更广泛影响是通过将研究整合到课程开发、加强研究基础设施、增加多样性以及广泛传播研究结果和发现来实现的。这些活动将为研究生和本科生提供宝贵的培训机会，并将培养下一代风能工程和遥感专家。它们还将有助于制定高效和有效的风暴应对、恢复和缓解战略，尽量减少人类痛苦和经济损失。

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.