摘要翻译：
波多黎各在2017年9月遭受了5级飓风（玛丽亚）的严重破坏。总损失估计约920亿美元，是美国历史上损失第三大的热带气旋。对这种破坏的反应已经缓和，进展缓慢，最近估计风暴三个月后，45%的人口断电。因此，我们开发了一种独特的数据融合制图方法，称为城市发展指数(UDI)和新的开放源码工具彗星时间序列(CometTS)，以分析波多黎各电力和基础设施的恢复情况。我们的方法结合了时间序列可视化和变化检测映射来创建电力或基础设施损失的描述。它还对仍在努力恢复的地区进行了独特的独立评估。对于这一工作流程，我们的时间序列方法结合了来自Suomi国家极轨伙伴关系可见红外成像辐射计套件（NPP VIIRS）的夜间图像、来自两颗陆地卫星的多光谱图像、美国人口普查数据和众包建筑足迹标签。根据我们的方法，我们可以识别和评估：1）与风暴前水平相比，电力恢复情况，2)尚未从风暴中恢复的潜在受损基础设施的位置，3)随着时间的推移断电的人数。截至2018年5月31日，全岛观察到的亮度水平下降表明，13.9%+/-~5.6%的人仍然缺乏电力和/或13.2%+/-~5.3%的基础设施已经损失。相比之下，波多黎各电力局表示，不到1%的客户仍然断电。
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英文标题：
《Assessment of electrical and infrastructure recovery in Puerto Rico
  following hurricane Maria using a multisource time series of satellite
  imagery》
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作者：
Jacob Shermeyer
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最新提交年份：
2018
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Computer Vision and Pattern Recognition        计算机视觉与模式识别
分类描述：Covers image processing, computer vision, pattern recognition, and scene understanding. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5.
涵盖图像处理、计算机视觉、模式识别和场景理解。大致包括ACM课程I.2.10、I.4和I.5中的材料。
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一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
  Puerto Rico suffered severe damage from the category 5 hurricane (Maria) in September 2017. Total monetary damages are estimated to be ~92 billion USD, the third most costly tropical cyclone in US history. The response to this damage has been tempered and slow moving, with recent estimates placing 45% of the population without power three months after the storm. Consequently, we developed a unique data-fusion mapping approach called the Urban Development Index (UDI) and new open source tool, Comet Time Series (CometTS), to analyze the recovery of electricity and infrastructure in Puerto Rico. Our approach incorporates a combination of time series visualizations and change detection mapping to create depictions of power or infrastructure loss. It also provides a unique independent assessment of areas that are still struggling to recover. For this workflow, our time series approach combines nighttime imagery from the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP VIIRS), multispectral imagery from two Landsat satellites, US Census data, and crowd-sourced building footprint labels. Based upon our approach we can identify and evaluate: 1) the recovery of electrical power compared to pre-storm levels, 2) the location of potentially damaged infrastructure that has yet to recover from the storm, and 3) the number of persons without power over time. As of May 31, 2018, declined levels of observed brightness across the island indicate that 13.9% +/- ~5.6% of persons still lack power and/or that 13.2% +/- ~5.3% of infrastructure has been lost. In comparison, the Puerto Rico Electric Power Authority states that less than 1% of their customers still are without power.
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PDF链接：
https://arxiv.org/pdf/1807.05854