摘要翻译：
热成像作为一种无损检测混凝土结构的方法已经发展了几十年。然而，由于对环境条件的严重依赖以及复杂的环境噪声，目前的实践效果有限。非时间序列方法存在加热阶段目标反射太阳辐射的问题，以及潜在的热分布不均匀的问题。这些局限性是传统的单一热像方法的主要制约因素。基于时间序列的方法，如基于傅里叶变换的脉冲相位热像、主成分热像和高阶统计量等，在实验装置下对表面反射特性差异和非均匀热分布进行了稳健的研究。本文旨在比较上述方法与常规静态热成像方法的性能。用于比较的情况是检测混凝土空心砌块在加热阶段的空隙。用信噪比对结果进行定量评价。与单一图像方法相比，使用时间序列方法观察到了良好的性能。
---
英文标题：
《Time-Series Based Thermography on Concrete Block Void Detection》
---
作者：
Chongsheng Cheng and Zhigang Shen
---
最新提交年份：
2018
---
分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
--

---
英文摘要：
  Using thermography as a nondestructive method for subsurface detection of the concrete structure has been developed for decades. However, the performance of current practice is limited due to the heavy reliance on the environmental conditions as well as complex environmental noises. A non-time-series method suffers from the issue of solar radiation reflected by the target during heating stage, and issues of potential non-uniform heat distribution. These limitations are the major constraints of the traditional single thermal image method. Time series-based methods such as Fourier transform-based pulse phase thermography, principle component thermography, and high order statistics have been reported with robust results on surface reflective property difference and non-uniform heat distribution under the experimental setting. This paper aims to compare the performance of above methods to that of the conventional static thermal imaging method. The case used for the comparison is to detect voids in a hollow concrete block during the heating phase. The result was quantitatively evaluated by using Signal-to-Noise Ratio. Favorable performance was observed using time-series methods compared to the single image approach.
---
PDF链接：
https://arxiv.org/pdf/1802.04869