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首页> 外文会议>Conference on SAR Image Analysis, Modeling, and Techniques III, Sep 25-27, 2000, Barcelona, Spain >Feature analysis for SAR ATR
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Feature analysis for SAR ATR

机译：SAR ATR的特征分析

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摘要

Feature-based automatic target recognition (ATR) discriminates between target classes on the basis of the values taken by certain target features. The conventional approach is to select the best features for a particular task from a large set of features which have been pre-defined on the basis of physical intuition. A simple feature might be target area whilst a more sophisticated feature might be some measure of fractal dimension. ATR performance will be influenced by the choice of features and by the accuracy with which the statistical behaviour of these features has been characterised. This paper describes a technique which can be used to determine statistical feature behaviour despite limited examples of target realisations. It also addresses the problem of feature choice by introducing a method for assessing the information carried by different features. This leads to a potential technique for adaptive feature generation. These ideas are illustrated by application to synthetic aperture radar (SAR) images of vehicles.
机译：基于特征的自动目标识别（ATR）根据某些目标特征所取的值来区分目标类别。常规方法是从大量基于物理直觉预定义的功能中选择特定任务的最佳功能。一个简单的特征可能是目标区域，而一个更复杂的特征可能是分形维数的度量。 ATR性能将受功能选择以及表征这些功能的统计行为的准确性的影响。本文介绍了一种技术，尽管目标实现的例子有限，但该技术可用于确定统计特征行为。它还通过引入一种评估不同特征所承载信息的方法来解决特征选择问题。这导致了用于自适应特征生成的潜在技术。通过将其应用于车辆的合成孔径雷达（SAR）图像来说明这些想法。

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