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Identifying minefields and verifying clearance: adapting statistical methods for UXO target detection

机译:识别Minefields和验证清除:适应UXO目标检测的统计方法

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It may not be feasible to completely survey large tracts of land suspected of containing minefields. It is desirable to develop a characterization protocol that will confidently identify minefields within these large land tracts if they exist. Naturally, surveying areas of greatest concern and most likely locations would be necessary but will not provide the needed confidence that an unknown minefield had not eluded detection. Once minefields are detected, methods are needed to bound the area that will require detailed mine detection surveys. The US Department of Defense Strategic Environmental Research and Development Program (SERDP) is sponsoring the development of statistical survey methods and tools for detecting potential UXO targets. These methods may be directly applicable to demining efforts. Statistical methods are employed to determine the optimal geophysical survey transect spacing to have confidence of detecting target areas of a critical size, shape, and anomaly density. Other methods under development determine the proportion of a land area that must be surveyed to confidently conclude that there are no UXO present. Adaptive sampling schemes are also being developed as an approach for bounding the target areas. These methods and tools will be presented and the status of relevant research in this area will be discussed.
机译:完全调查涉嫌含有雷地区的大片土地可能是不可行的。期望开发一种表征协议,如果存在,将自信地识别这些大陆地内的雷区。当然,调查领域最令人关注的问题和最有可能的地方是必要的,但不会提供所需的信心,即未知的雷区没有挑选检测。一旦检测到雷区,需要方法来绑定需要详细矿山检测调查的区域。美国国防部战略环境研发计划(SERDP)赞助了统计调查方法和工具的开发,用于检测潜在的UXO目标。这些方法可以直接适用于排雷努力。采用统计方法来确定最佳地球物理调查横跨间距,以置于临界大小,形状和异常密度的目标区域的置信度。制定的其他方法确定了必须被调查的土地面积的比例,以便于自信地得出结论,没有uxo存在。还正在开发自适应采样方案作为限制目标区域的方法。将展示这些方法和工具,并讨论该地区相关研究的状态。

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