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首页> 外文会议>Conference on unattended ground, sea and air sensor technologies and applications XI; 20090413-16; Orlando, FL(US) >Long-wave infrared profile feature extractor (PFx) sensor
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Long-wave infrared profile feature extractor (PFx) sensor

机译：长波红外轮廓特征提取器（PFx）传感器

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摘要

The Long Wave Infrared (LWIR) Profile Feature Extractor (PFx) sensor has evolved from the initial profiling sensor that was developed by the University of Memphis (Near IR) and the Army Research Laboratory (visible). This paper presents the initial signatures of the LWIR PFx for human with and without backpacks, human with animal (dog), and a number of other animals. The current version of the LWIR PFx sensor is a diverging optical tripwire sensor. The LWIR PFx signatures are compared to the signatures of the Profile Sensor in the visible and Near IR spectral regions. The LWIR PFx signatures were collected with two different un-cooled micro bolometer focal plane array cameras, where the individual pixels were used as stand alone detectors (a non imaging sensor). This approach results in a completely passive, much lower bandwidth, much longer battery life, low weight, small volume sensor that provides sufficient information to classify objects into human Vs non human categories with a 98.5% accuracy.
机译：长波红外（LWIR）轮廓特征提取器（PFx）传感器是由孟菲斯大学（近红外）和陆军研究实验室（可见）开发的初始轮廓传感器演变而来的。本文介绍了LWIR PFx的初始特征，适用于有或没有背包的人，有动物的人（狗）以及许多其他动物。 LWIR PFx传感器的当前版本是发散的光学绊索传感器。在可见光和近红外光谱区域中，将LWIR PFx签名与Profile Sensor的签名进行比较。 LWIR PFx签名是用两个不同的未冷却的微型辐射热计焦平面阵列相机收集的，其中各个像素用作独立的检测器（非成像传感器）。这种方法可实现完全无源的带宽，更低的带宽，更长的电池寿命，更轻的重量，更小的体积的传感器，该传感器提供了足够的信息以98.5％的准确度将物体分类为人类与非人类。

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