High temporal resolution laser radar tomography for long range target identification

M. Dierking, F. Heitkamp, L. Barnes
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引用次数: 1

Abstract

The Air Force Electro Optics Division is pursuing advanced laser target identification technologies under its Enhanced Recognition and Sensing Ladar (ERASER) program. Long range, eyesafe target identification is of central importance in many regional operations. Building on advancements in laser sources, detectors1 and signal processing, direct detection ladar can provide ID well beyond the range of conventional imaging sensors. High temporal resolution laser radar can produce range resolved (ID) scattering profiles, which are unique to each aircraft relatively independent of target range2,3. This allows a variety of ID techniques to be applied at ranges well beyond the resolution limits of comparably sized imaging apertures. The ID profiles can be applied to automatic target recognition systems for classification and identification. However, in-class variation as well as large numbers of unclassified targets may limit these techniques. In this paper, we investigate the use of tomographic reconstruction to enhance long range identification. The reconstruction is based on compilations of ID signatures obtained at various angles due to relative target sensor motion. We describe the ladar system used to measure the ID returns of an F-4 aircraft. Based on the measured capabilities of the ERASER ladar, we use the IRMA computer model to generate sets of data consistent with the measured ladar data. Finally, we utilize the filtered back-projection method to investigate the reconstruction model data for both the ideal and limited-data cases.
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用于远距离目标识别的高时间分辨率激光雷达层析成像
美国空军光电部正在其增强型识别和传感雷达(ERASER)项目下寻求先进的激光目标识别技术。远距离、安全的目标识别在许多区域行动中至关重要。基于激光源、探测器和信号处理的进步,直接探测雷达可以提供远远超出传统成像传感器范围的识别。高时间分辨率激光雷达可以产生距离分辨(ID)散射剖面,该剖面对每架飞机来说都是唯一的,相对独立于目标距离2,3。这使得各种ID技术的应用范围远远超出了相当大小的成像孔径的分辨率限制。该ID轮廓可以应用于自动目标识别系统中进行分类和识别。然而,类内变异以及大量未分类目标可能会限制这些技术。在本文中,我们研究使用层析重建来增强远程识别。重建是基于在目标传感器相对运动的不同角度获得的ID签名的汇编。本文描述了一种用于测量F-4飞机识别回波的雷达系统。基于ERASER雷达的测量能力,我们使用IRMA计算机模型生成与雷达测量数据一致的数据集。最后,我们利用滤波后的反投影方法研究了理想和有限数据情况下的重建模型数据。
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