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Asymptotic Analysis of Pattern-Theoretic Ojbect recognition

机译:模式理论对象识别的渐近分析

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摘要

Automated target recognition (ATR) is a problem of great importance in a fwide variety of applications: from military target recognition to recognizing flow-patterns in fluid-dynamics to anatomical shape-stuides. The basic goal is to utilize observations (images, signals) from remote sensors( such as videos, radars, MRI or PET) to identify the objects being observed. In a statistical framework, probability distributions on parameters representing the object unknowns are devied and analyzed to compute inferences (please refer to~1 for a detailed introduction).
机译:自动目标识别(ATR)是在各种应用中具有重要意义的问题:从军事目标识别到识别流体动力学中的流动模式到解剖形状 - 稳定。基本目标是利用远程传感器(例如视频,雷达,MRI或PET)的观测(图像,信号)来识别被观察到的对象。在统计框架中,代表对象未知数的参数上的概率分布并分析以计算推断(请参阅〜1进行详细介绍)。

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