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Extending the 3D range of a short-wave infrared laser gated-viewing system capable of correlated double sampling

机译:扩展能够进行相关双采样的短波红外激光选通观察系统的3D范围

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Primarily, a laser gated-viewing (GV) system provides range-gated 2D images without any range resolution within the range gate. By combining two GV images with appropriately overlapping range gates, 3D information within a part of these range gates can be obtained. The depth resolution is higher (super-resolution) than the minimal gate shift step size in a tomographic sequence of the scene. For a state-of-the-art system with a typical frame rate of 30 Hz, the time difference between the two required GV images is approximately 33 ms which may be too long in a dynamic scenario with fast moving objects. Therefore, in a previous work, we have applied this approach to the reset and signal level images of a short-wave infrared laser GV camera whose read-out integrated circuit is capable of correlated double sampling originally designed for the reduction of kTC noise (reset noise). This camera consists of a 640 × 512 avalanche photodiode focal plane array based on mercury cadmium telluride with a pixel pitch of 15 urn. The great advantage of this idea is the fact that these images are extracted from only one single laser pulse with a marginal time difference in between. This allows 3D imaging of fast moving objects. However, a drawback of this method is the very limited 3D range in which 3D reconstruction is possible. In this paper, we describe and discuss two measures to extend the 3D range. First, refining the algorithm for 3D reconstruction is investigated, particularly using a quadratic model instead of a linear model as in previous work. Second, we use an illumination laser with longer pulse duration than before to study the influence of laser pulse length on 3D range in real experiments. Based on these measured data, we simulate further temporal stretching of the laser pulse, to evaluate the potential of this approach to extend the 3D range.
机译:首先,激光选通观察(GV)系统可提供距离选通的2D图像,而在距离选通范围内则没有任何距离分辨率。通过将两个GV图像与适当重叠的距离门组合在一起,可以获得这些距离门的一部分内的3D信息。深度分辨率比场景的断层扫描序列中的最小门偏移步长要高(超分辨率)。对于典型帧速率为30 Hz的最新系统,两个所需GV图像之间的时间差约为33 ms,这在具有快速移动物体的动态场景中可能太长。因此,在以前的工作中,我们将这种方法应用于短波红外激光GV摄像机的复位和信号电平图像,该摄像机的读出集成电路能够进行相关的双采样,最初是为降低kTC噪声而设计的(复位噪声)。该相机由一个基于碲化汞镉的640×512雪崩光电二极管焦平面阵列组成,像素间距为15。这种想法的最大优点是,这些图像仅从一个单个激光脉冲中提取,并且它们之间的时间差很小。这样就可以对快速移动的物体进行3D成像。但是,该方法的缺点是3D重建范围非常有限的3D范围。在本文中,我们描述和讨论了扩展3D范围的两种方法。首先,研究了用于3D重建的算法,尤其是使用二次模型代替了线性模型,就像以前的工作一样。其次,我们使用脉冲持续时间比以前更长的照明激光器,以在实际实验中研究激光脉冲长度对3D范围的影响。基于这些测量的数据,我们模拟了激光脉冲的进一步时间扩展,以评估此方法扩展3D范围的潜力。

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