湍流环境下基于DMD压缩线传感成像系统的实验研究

SPIE OPTO Pub Date : 2016-03-15 DOI:10.1117/12.2212426
B. Ouyang, W. Hou, C. Gong, F. Caimi, F. Dalgleish, A. Vuorenkoski, X. Xiao, D. Voelz
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引用次数: 1

摘要

压缩线传感(CLS)主动成像系统在沿海混浊水、雾和薄雾等散射介质中具有良好的成像效果。CLS原型硬件包括一个连续波激光器、一个DMD、一个光电倍增管和一个数据采集仪器。CLS采用与传统测量平台兼容的快速成像技术。感知模型采用分布式压缩感知理论框架,利用自然场景中信号内稀疏性和相邻区域的高度相关性。传感工作时,激光照射空间光调制器DMD,从码本中产生一系列一维二进制传感图案,对当前目标线段进行“编码”。单元素检测器PMT获取目标反射作为编码器输出。然后可以使用编码器输出和反映原始码本条目的环境干扰的预测的目标上码本来恢复目标。在这项工作中,我们研究了CLS成像系统在湍流环境中的有效性。湍流在许多大气和水下监测应用中提出了挑战。在海军研究实验室的光学湍流测试设备上进行了一系列实验,对成像路径进行了不同湍流强度的测试。利用总变差最小化稀疏化基础进行成像重建。初步实验结果表明,该成像系统能够在不同湍流强度下恢复目标信息。本文将讨论在强湍流环境中获取数据所面临的挑战以及未来系统的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental study of a DMD based compressive line sensing imaging system in the turbulence environment
The Compressive Line Sensing (CLS) active imaging system has been demonstrated to be effective in scattering mediums, such as coastal turbid water, fog and mist, through simulations and test tank experiments. The CLS prototype hardware consists of a CW laser, a DMD, a photomultiplier tube, and a data acquisition instrument. CLS employs whiskbroom imaging formation that is compatible with traditional survey platforms. The sensing model adopts the distributed compressive sensing theoretical framework that exploits both intra-signal sparsity and highly correlated nature of adjacent areas in a natural scene. During sensing operation, the laser illuminates the spatial light modulator DMD to generate a series of 1D binary sensing pattern from a codebook to “encode” current target line segment. A single element detector PMT acquires target reflections as encoder output. The target can then be recovered using the encoder output and a predicted on-target codebook that reflects the environmental interference of original codebook entries. In this work, we investigated the effectiveness of the CLS imaging system in a turbulence environment. Turbulence poses challenges in many atmospheric and underwater surveillance applications. A series of experiments were conducted in the Naval Research Lab’s optical turbulence test facility with the imaging path subjected to various turbulence intensities. The total-variation minimization sparsifying basis was used in imaging reconstruction. The preliminary experimental results showed that the current imaging system was able to recover target information under various turbulence strengths. The challenges of acquiring data through strong turbulence environment and future enhancements of the system will be discussed.
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