一种基于图像数据库的炮火检测算法的快速开发

William Seisler, N. Terry, E. Williams
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引用次数: 1

摘要

在过去的几年中,海军研究实验室(NRL)一直在开发使用红外传感器的炮火探测系统。在过去的一年里,这项工作的主要重点是改进从红外图像中检测炮火的算法性能。正在开发一个小型武器射击和背景杂波记录数据库,以便对新算法进行实验室测试。随着数据量的不断增长,测试分析变得越来越长。正在开发新的工具和方法来减少后期分析时间。通过使用数据库和工具,将介绍算法改进的结果,以提高检测概率和减少误报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid Development of a Gunfire Detection Algorithm Using an Imagery Database
Over the past few years, the Naval Research Laboratory (NRL) has been developing gunfire detection systems using infrared sensors. During the past year, the primary focus of this effort has been on algorithm performance improvements for gunfire detection from infrared imagery. A database of recordings of small arms fire and background clutter is being developed to allow lab testing of new algorithms. As the amount of data continues to grow, the testing analysis becomes lengthier. New tools and methods are being developed to reduce the post analysis time. Results of algorithm improvements for probability of detection and false alarm reduction through use of the database and tools will be presented.
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