Automatic mapping of moisture affectation in exposed concrete structures by fusing different wavelength remote sensors
Automatic mapping of moisture affectation in exposed concrete structures by fusing different wavelength remote sensors
复制标题
通过融合不同波长遥感器自动绘制裸露混凝土结构中的湿度影响图
DOI：
--
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
D. González
中科院分区：
文献类型：
--
作者：
B. Conde;S. del Pozo;B. Riveiro;D. González
含水量是早期检测裸露混凝土结构水分退化的关键参数。传统上，目视检查是检测混凝土结构中潮湿引起的表面病变的最广泛的程序，尤其是在进入受限的情况下。对于这种情况，遥感是恢复辐射信息的宝贵工具，可用于检测和量化水造成的不同程度的影响。本文提出了一种通过融合多个以不同波长记录数据的传感器来识别和评估真实混凝土结构中的含水量的方法。特别是，开发了一种将两台地面激光扫描仪（Riegl-Z390i 和 FARO Focus 3D）收集的三维强度数据与六波段多光谱相机和商用数码相机（MCA6 Tetracam 和 Canon EOS 5D）提供的二维辐射数据集成的程序。在二维空间中进行数据融合后，创建多波段图像以进行进一步的光谱分析。最后，使用聚类算法进行无监督分类，以确定影响程度和最适合湿度测绘的遥感器。本次调查中使用的传感器之间的比较表明，两个激光扫描仪的强度图像对于识别和表征此类结构的湿度程度具有很高的潜力。版权所有 © 2015 约翰·威利父子有限公司
Water content is a critical parameter for the early detection of moisture degradation in exposed concrete structures. Traditionally, visual inspection is the most extended procedure to detect superficial pathologies caused by moisture in concrete constructions, principally when access is limited. For such cases, remote sensing is a valuable tool to recover radiometric information useful for detecting and quantifying different degrees of affectation caused by water. This paper presents an approach to identifying and evaluating the water content in a real concrete structure by fusing several sensors recording data in different wavelengths. In particular, a procedure to integrate three‐dimensional intensity data collected by two terrestrial laser scanners (Riegl‐Z390i and FARO Focus 3D) with two‐dimensional radiometric data provided by a six‐band multispectral camera and a commercial digital camera (MCA6 Tetracam and Canon EOS 5D) is developed. After data fusion in a two‐dimensional space, a multiband image was created for further spectral analysis. Finally, an unsupervised classification using clustering algorithms was performed to identify the degrees of affectation and the most suitable remote sensor for moisture mapping. Comparisons between the sensors used in this survey reveal that intensity imagery from both laser scanners has high potential for the recognition and characterisation of the degree of moisture in this type of structure. Copyright © 2015 John Wiley & Sons, Ltd.