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A Foliage Penetrating Radar Imaging System

机译:透叶雷达成像系统

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摘要

A radar range has been constructed at the University of Massachusetts Lowell Submillimeter-Wave Technology Laboratory to investigate electromagnetic scattering and imagery of threat military targets located in forested terrain. The radar system, operating at X-band, uses 1/35th scale targets and scenes to acquire VHF/UHF signature data. The trees and ground planes included in the measurement scenes have been dielectrically scaled in order to properly model the target/clutter interaction. The signature libraries acquired by the system could be used to help develop automatic target recognition algorithms. The difficulty in target recognition in forested areas is due to the fact that trees can have a signature larger than that of the target. The rather long wavelengths required to penetrate the foliage canopy also complicate target recognition by limiting image resolution. The measurement system and imaging algorithm will be presented as well as a validation of the measurements obtained by comparing measured signatures with analytical predictions. Preliminary linear co-polarization (HH,VV) and cross-polarization (HV,VH) data will be presented on an M1 tank in both forested and open-field scenarios
机译:马萨诸塞州洛厄尔大学亚毫米波技术实验室已经建立了雷达测距仪,以研究电磁散射和位于森林地带的威胁军事目标的图像。在X波段运行的雷达系统使用1/35尺度的目标和场景来获取VHF / UHF签名数据。测量场景中包含的树木和地面已按介电比例缩放,以便正确地模拟目标/杂波相互作用。系统获取的签名库可用于帮助开发自动目标识别算法。在林区中识别目标的困难是由于树木的签名可能大于目标的事实。穿透树叶冠层所需的相当长的波长也通过限制图像分辨率使目标识别复杂化。将介绍测量系统和成像算法,以及通过将测量的特征与分析预测进行比较而获得的测量结果的验证。原始的线性共极化(HH,VV)和交叉极化(HV,VH)数据将在森林和开阔场景中的M1储罐上显示

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