SUN Baoyan, MO Chunhua, XUE Wei, ZHANG Yutao, GE Guanghao. Application of 3D Fusion of Infrared Imaging and Tilt Photography in Building Detection[J]. Infrared Technology , 2022, 44(9): 991-998.
Citation: SUN Baoyan, MO Chunhua, XUE Wei, ZHANG Yutao, GE Guanghao. Application of 3D Fusion of Infrared Imaging and Tilt Photography in Building Detection[J]. Infrared Technology , 2022, 44(9): 991-998.

Application of 3D Fusion of Infrared Imaging and Tilt Photography in Building Detection

More Information
  • Received Date: December 08, 2021
  • Revised Date: January 27, 2022
  • Effective and high-precision non-destructive detection methods for building diseases are lacking, and traditional manual detection imposes limitations on the height and area of the disease area of the building envelope facing layer. To address these issues, this study proposes a method of 3D fusion of infrared imaging and oblique photography along with the establishment of 3D model electronic archives containing building disease information. Taking a teaching building in a school as an example, this study adopts the acquisition scheme mainly based on infrared technology and supplemented by tilt photography technology and the coordinate matching method in the same position space, obtains the refined three-dimensional model electronic file containing building disease information through coordinate conversion and two kinds of heterogeneous spatial data fusion, and completes the comparative evaluation of model accuracy before and after data fusion. The results show that the fusion model obtained by this method has a high accuracy and small point error and can quickly and accurately obtain the spatial position of building diseases. The method provides a new idea for the practical application of building nondestructive testing technology and has research value and practical application significance for establishing an integrated operation and maintenance system of building information supervision, repair, and management.
  • [1]
    牛奕, 甘玲童, 马云. 基于红外无损检测的非金属材料粘贴缺陷识别[J]. 红外技术, 2020, 42(4): 393-398. http://hwjs.nvir.cn/article/id/hwjs202004013

    NIU Yi, GAN Lingtong, Ma Yun. Identification of pasting defects of non-metallic materials based on infrared non-destructive testing[J]. Infrared Technology, 2020, 42(4): 393-398. http://hwjs.nvir.cn/article/id/hwjs202004013
    [2]
    Edis E, Flores Colen, Inês De Brito J. Passive thermographic inspection of adhered ceramic claddings: limitation and conditioning factors[J]. Journal of Performance of Constructed Facilities, 2012, 27(6): 737-747.
    [3]
    Goffin B, Banthia N, Yonemitsu N. Use of infrared thermal imaging to detect corrosion of epoxy coated and uncoated rebar in concrete[J]. Construction and Building Materials, 2020, 263: 120162. DOI: 10.1016/j.conbuildmat.2020.120162
    [4]
    ZHANG R, LI H, DUAN K, et al. Automatic detection of earthquake-damaged buildings by integrating UAV oblique photography and infrared thermal imaging[J]. Remote Sensing, 2020, 12(16): 1-28.
    [5]
    冯力强, 王欢祥, 晏大玮, 等. 红外热像法检测建筑外墙饰面层内部缺陷试验研究[J]. 土木工程学报, 2014, 47(6): 51-56. Doi: 10.15951/j. tmgcxb.2014.06.015.

    FENG Liqiang, WANG Huanxiang, YAN Dawei, et al. Experimental study on the detection of internal defects of building exterior wall finishing layer by infrared thermal imaging method[J]. Chinese Journal of Civil Engineering, 2014, 47(6): 51-56. Doi:10.15951/j.tmgcxb. 2014.06.015.
    [6]
    邓安仲, 赵启林, 李胜波, 等. 混凝土裂缝红外热成像分布式监测技术研究[J]. 建筑材料学报, 2013, 16(2): 284-288. DOI: 10.3969/j.issn.1007-9629.2013.02.018

    DENG Anzhong, ZHAO Qilin, LI Shengbo, et al. Research on distributed monitoring technology of concrete cracks with infrared thermal imaging [J]. Journal of Building Materials, 2013, 16(2): 284-288. DOI: 10.3969/j.issn.1007-9629.2013.02.018
    [7]
    闫利, 程君. 倾斜影像三维重建自动纹理映射技术[J]. 遥感信息, 2015, 30(2): 31-35. DOI: 10.3969/j.issn.1000-3177.2015.02.005

    YAN Li, CHENG Jun. Automatic texture mapping technology for oblique image 3D reconstruction [J]. Remote Sensing Information, 2015, 30(2): 31-35. DOI: 10.3969/j.issn.1000-3177.2015.02.005
    [8]
    Satoru M, Takuji Y, Michio I, et al. Configuration and displacement measurement using vision metrology[J]. Ceskoslovenská Epidemiologie Mikrobiologie Imunologie, 2002, 2(5): 395-398.
    [9]
    ZHOU T, LV L, JIU T, et al. Application of UAV oblique photography in real scene 3d modeling[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021, XLIII-B2-2021: 413-418. DOI: 10.5194/isprs-archives-XLIII-B2-2021-413-2021
    [10]
    吴熠文, 余加勇, 陈仁朋, 等. 无人机倾斜摄影测量技术及其工程应用研究进展[J]. 湖南大学学报: 自然科学版, 2018, 45(S1): 167-172. https://www.cnki.com.cn/Article/CJFDTOTAL-HNDX2018S1030.htm

    WU Yiwen, YU Jiayong, CHEN Renpeng, et al. Research progress on UAV oblique photogrammetry technology and its engineering application [J]. Journal of Hunan University: Natural Science Edition, 2018, 45(S1): 167-172. https://www.cnki.com.cn/Article/CJFDTOTAL-HNDX2018S1030.htm
    [11]
    冯增文, 李珂, 李梓豪, 等. 低空无人机的倾斜摄影测量技术在城市轨道交通建设中的应用[J]. 测绘通报, 2020(9): 42-45. https://www.cnki.com.cn/Article/CJFDTOTAL-CHTB202009009.htm

    FENG Zengwen, LI Ke, LI Zihao, et al. Application of low-altitude UAV oblique photogrammetry technology in urban rail transit construction [J]. Bulletin of Surveying and Mapping, 2020(9): 42-45. https://www.cnki.com.cn/Article/CJFDTOTAL-CHTB202009009.htm
    [12]
    Gerke M, Kerle N. Automatic structural seismic damage assessment with airborne oblique pictometry imagery[J]. Photogrammetric Engineering & Remote Sensing, 2015, 77(9): 885-898.
    [13]
    眭海刚, 刘超贤, 黄立洪, 等. 遥感技术在震后建筑物损毁检测中的应用[J]. 武汉大学学报: 信息板, 2019, 44(7): 1008-1019. Doi: 10.13203/j.whugis20190070.

    SUI Haigang, LIU Chaoxian, HUANG Lihong, et al. Application of remote sensing technology in post-earthquake building damage detection [J]. Journal of Wuhan University: Information Board, 2019, 44(7): 1008-1019. Doi: 10.13203/j.whugis20190070.
    [14]
    陈文, 孙保燕, 贾巧志. 基于激光标定的热工缺陷面积测量方法[J]. 科学技术与工程, 2019, 19(2): 175-179. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201902029.htm

    CHEN Wen, SUN Baoyan, JIA Qiaozhi. Measurement method of thermal defect area based on laser calibration[J]. Science Technology and Engineering, 2019, 19(2): 175-179. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201902029.htm
    [15]
    李德仁, 肖雄武, 郭丙轩, 等. 倾斜影像自动空三及其在城市真三维模型重建中的应用[J]. 武汉大学学报: 信息科学版, 2016, 41(6): 711-721. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201606001.htm

    LI Deren, XIAO Xiongwu, GUO Bingxuan, et al. Automatic aerial triangulation of oblique images and its application in reconstruction of true 3D urban models [J]. Journal of Wuhan University: Information Science Edition, 2016, 41(6): 711-721. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201606001.htm
    [16]
    谭仁春, 李鹏鹏, 文琳, 等. 无人机倾斜摄影的城市三维建模方法优化[J]. 测绘通报, 2016(11): 39-42. https://www.cnki.com.cn/Article/CJFDTOTAL-CHTB201611011.htm

    TAN Renchun, LI Pengpeng, WEN Lin, et al. Optimization of urban 3D modeling method based on UAV oblique photography [J]. Bulletin of Surveying and Mapping, 2016(11): 39-42. https://www.cnki.com.cn/Article/CJFDTOTAL-CHTB201611011.htm
    [17]
    张寅, 李阳, 陈家华, 等. 基于Smart 3D的多源影像实景三维建模研究[J]. 地球科学前沿, 2018, 8(8): 1316-1322. https://cdmd.cnki.com.cn/Article/CDMD-10616-1018265055.htm

    ZHANG Yin, LI Yang, CHEN Jiahua, et al. Research on 3D modeling of multi-source images based on smart 3D [J]. Frontiers in Earth Science, 2018, 8(8): 1316-1322. https://cdmd.cnki.com.cn/Article/CDMD-10616-1018265055.htm
    [18]
    国家测绘地理信息局. 三维地理信息模型数据产品规范[S]. CH/T 9015-2012, [2021-12-09].

    National Bureau of Surveying, Mapping and Geographic Information. 3D geographic information model data product specification[S]. CH/T 9015-2012, [2021-12-09].
  • Related Articles

    [1]ZHANG Kunjie. Research Progress and Trends of High Operating Temperature Infrared Detectors[J]. Infrared Technology , 2021, 43(8): 766-772.
    [2]Military Status and Trends of Infrared Common Modules in Europe and America[J]. Infrared Technology , 2020, 42(7): 697-701.
    [3]Current Status and Trend of Vehicle Photoelectric Mast Technology[J]. Infrared Technology , 2020, 42(6): 519-527.
    [4]LI Yu, LU Qiang, Bai Piji. Situation and Trend of Uncooled Infrared Imaging Systems for Army Equipment Worldwide[J]. Infrared Technology , 2017, 39(7): 581-593.
    [5]Development Situation and Trend of InSb Infrared Focal Plane Array[J]. Infrared Technology , 2016, 38(11): 905-913.
    [6]GUO Jiaqi, ZHANG Zhigang, HU Zebin, YAN Huanmin. Advance and Trend of Near Infrared Camouflage Technology[J]. Infrared Technology , 2016, 38(2): 96-101.
    [7]The Status and Development Trend of Infrared Image Processing Technology[J]. Infrared Technology , 2013, (6): 311-318.
    [8]LU Jian-ming, CAI Yi, HUANG Hui. Status、Features and Trends of Infrared Imaging Technology in Russia[J]. Infrared Technology , 2006, 28(2): 68-73. DOI: 10.3969/j.issn.1001-8891.2006.02.002
    [9]SUN Shi-an, FEI Yi-wei, WANG Xie-qi, SUN Yuan-bao, PENG Xiu-hua. IR Smoke Screen Material and Its Developing Trends[J]. Infrared Technology , 2005, 27(2): 164-166. DOI: 10.3969/j.issn.1001-8891.2005.02.016
    [10]Layering Voting Target Detection Method and Performance Analyzing[J]. Infrared Technology , 2003, 25(6): 10-13,17. DOI: 10.3969/j.issn.1001-8891.2003.06.003
  • Cited by

    Periodical cited type(2)

    1. 黄坤琳,吴国周,徐维新,李利东,王海梅,李航,李自翔,司荆柯,刘洪宾,吴成娜. 呼伦贝尔东部农田区动态融雪过程及其影响因子. 干旱区研究. 2024(09): 1514-1526 .
    2. 黄林,李晖,康璇. 基于Freeman全极化分解的干雪识别指数模型构建. 厦门理工学院学报. 2023(05): 40-48 .

    Other cited types(2)

Catalog

    Article views PDF downloads Cited by(4)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return