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The Adaptive SAR ATR problem set (AdaptSAPS)

机译:自适应SAR ATR问题集(AdaptSAPS)

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摘要

A strong and growing interest in systems that adapt to changing circumstances was evident in panel discussions at the "Algorithms for SAR Imagery" Conference of the AeroSense Symposium in April 2003, with DARPA, Air Force, industry and academia participation. As a result, Conference Co-Chair Mr. Ed Zelnio suggested producing a dynamic model to create problem sets suitable for adaptive system research and development. Such a problem set provides a framework for the overall problem, including organization of operating conditions, performance measures and specific test cases. It is hoped that this AdaptSAPS framework will help provide the community with a more concrete base for discussing adaptation in SAR imagery exploitation. AdaptSAPS Version 1.0 was produced by the AFRL COMPASE and SDMS organizations and posted on 5 August 2003. AdaptSAPS consists of over a dozen MatLab programs that allow the user to create "missions' with SAR data of varying complexities and then present that test data one image at a time, first as unexploited imagery and then later with the exploitation results that an ATR could use for adaptation in an operational environment. AdaptSAPS keeps track of performance results and reports performance measures. This paper describes AdaptSAPS - its application process and possible improvements as a problem set.
机译:在2003年4月举行的AeroSense专题研讨会的“ SAR图像算法”会议上,小组讨论清楚表明了人们对适应环境变化的系统的浓厚兴趣和日益增长的兴趣,DARPA,空军,工业界和学术界都参加了该会议。因此,会议联合主席Ed Zelnio先生建议建立一个动态模型,以创建适合于自适应系统研究和开发的问题集。这样的问题集为整个问题提供了框架,包括操作条件,性能度量和特定测试用例的组织。希望此AdaptSAPS框架将有助于为社区提供更具体的基础,以讨论SAR图像开发中的适应问题。 AdaptSAPS版本1.0由AFRL COMPASE和SDMS组织制作,并于2003年8月5日发布。AdaptSAPS由十几个MatLab程序组成,这些程序使用户可以使用复杂程度不同的SAR数据创建“任务”,然后将测试数据呈现为一张图像。一次,首先是未利用的图像,然后是ATR可以在操作环境中用于适应的利用结果。AdaptSAPS跟踪性能结果并报告性能指标。本文介绍AdaptSAPS-其应用过程和可能的改进问题集。

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