Spatial Resolution Imagery Requirements for Identifying Structure Damage in a Hurricane Disaster: A Cognitive Approach
Spatial Resolution Imagery Requirements for Identifying Structure Damage in a Hurricane Disaster: A Cognitive Approach
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识别飓风灾难中的结构损坏的空间分辨率图像要求：认知方法
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Jiayu Wang
中科院分区：
文献类型：
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作者：
S. Battersby;M. Hodgson;Jiayu Wang
在救灾工作中，及时收集和利用遥感图像越来越重要。在灾难发生后的最初几天，图像利用方法主要是通过视觉分析，而不是自动分类方法。虽然获取图像的时间需求相当明确（在一至三天的窗口内），但对于图像进行视觉分析所需的空间分辨率要求，只有有根据的猜测。在本文中，我们报告的结果，从实证研究，以确定粗的空间分辨率，是足够的任务需要立即发生重大灾难。这项研究是使用认知科学实验方法进行的，并评估了在绘制飓风相关住宅结构损坏的任务中具有不同图像解释技能的个人的表现。通过这项研究，我们发现1.5米作为阈值的粗空间分辨率图像，可以成功地用于这项任务。研究的结果进行了讨论的可能性收集这种类型的图像内的时间窗口所需的应急管理
In disaster response, timely collection and exploitation of remotely sensed imagery is of increasing importance. Image exploitation approaches during the immediate (first few days) aftermath of a disaster are predominantly through visual analysis rather than automated classification methods. While the temporal needs for obtaining the imagery are fairly clear (within a one- to three-day window), there have only been educated guesses about the spatial resolution requirements necessary for the imagery for visual analysis. In this paper, we report results from an empirical study to identify the coarsest spatial resolution that is adequate for tasks required immediately following a major disaster. The study was conducted using cognitive science experimental methods and evaluated the performance of individuals with varying image interpretation skills in the task of mapping hurricane-related residential structural damage. Through this study, we found 1.5 m as a threshold for the coarsest spatial resolution imagery that can successfully be used for this task. The results of the study are discussed in terms of the likelihood of collection of this type of imagery within the temporal window required for emergency management