颐和园古树内部异常的雷达波检测
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摘要
采用雷达波树木无损探测技术与树木雷达分析软件,对颐和园内6棵古柳的内部异常情况进行雷达波探测成像试验.结果表明古柳内部均存在不同程度的异常,其中3棵古柳异常程度较高.雷达波成像解析结果准确且与实际情况相符程度高,表明树木雷达系统可以对树木内部异常分布情况进行高效无损的检测、成像和解析.
The internal abnormal situation of 6 ancient willows in the Summer Palace was detected based on tree radar system and radar analysis software.The results showed that all 6 willows had anomalies,3 of which have high proportions of anomalies,indicating that the tree radar system is applicable to predict the internal distribution of tree and contour shape non-invasively.
The internal abnormal situation of 6 ancient willows in the Summer Palace was detected based on tree radar system and radar analysis software.The results showed that all 6 willows had anomalies,3 of which have high proportions of anomalies,indicating that the tree radar system is applicable to predict the internal distribution of tree and contour shape non-invasively.
引文
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[2]岳小泉,王立海,葛晓雯.风荷载作用下树木力学特性研究进展[J].森林工程,2015,31(6):33-36.
[3]廖春晖,张厚江,王喜平,等.明十三陵裕陵修缮工程中的木构件无损检测[J].北京林业大学学报,2014,36(1):132-137.
[4]房友盼,刘英,徐兆军,等.运用静态法与应力波法测定宽度对硬材弹性模量的影响[J].森林工程,2015,31(4):60-63.
[5]岳小泉,王立海,刘泽旭,等.不同含水率下利用电阻与应力波断层成像定量检测木材腐朽[J].福建农林大学学报(自然科学版),2016,45(5):593-598.
[6]曾祥,周晓军,杨辰龙,等.基于经验模态分解和S变换的缺陷超声回波检测方法[J].农业机械学报,2016,47(11):414-420.
[7]梅萍,夏兆鹏,张耀丽,等.檀香紫檀和染料紫檀快速微损鉴别方法[J].福建农林大学学报(自然科学版),2017,46(2):154-158.
[8]葛浙东,侯晓鹏,鲁守银,等.基于反投影坐标快速算法的木材CT检测系统研究[J].农业机械学报,2016,47(3):327-341.
[9]GAO L,LIU J,XUE H.Nondestructive detection of standing trees and radar wave detection[C]∥IEEE.International Conference on Computing,Control and Industrial Engineering.Wnhan:IEEE Computer Society,2010:304-307.
[10]GODIO A,SAMBUELLI L,SOCCO L.Application and comparison of three tomographic techniques for detection of decay in trees[J].Journal of Arboriculture,2003,29(2):66-78.
[11]SAMBUELLI L,SOCCO L V,GODIO A.Ultrasonic,electric and radar measurements for living trees assessment[J].Bollettino Di Geofisica Teorica Ed Applicata,2003,44(3):253-279.
[12]RODRIGUEZ-ABAD I,MARTINEZ-SALA R,GARCIA-GARCIA F,et al.Non-destructive methodologies for the evaluation of moisture content in sawn timber structures:ground-penetrating radar and ultrasound techniques[J].Near Surface Geophysics,2010,8(6):475-482.
[13]PEREZ-GRACIA V,SANTOS-ASSUNCAO S,CASELLES O,et al.Study of wood beams in buildings with ground penetrating radar[C]∥IEEE.International Conference on Ground Penetrating Radar.Brussels:IEEE,2014:31-35.
[14]FU L,LIU S,LIU L.Internal structure characterization of living tree trunk cross-section using GPR:numerical examples and field data analysis[C]∥IEEE.15th International Conference on Ground Penetrating Radar.Brussels:IEEE,2014:155-160.
[15]BUTNOR J R,PRUYN M L,SHAW D C,et al.Detecting defects in conifers with ground penetrating radar:applications and challenges[J].Forest Pathology,2009,39(5):309-322.
[16]NUNEZ N X,SOLLA M,NOVO A,et al.Three-dimensional ground-penetrating radar methodologies for the characterization and volumetric reconstruction of underground tunneling[J].Construction&Building Materials,2014,71:551-560.
[17]BOLD R D,O'CONNOR G,MORRISSEY J,et al.Benchmarking large scale GPR experiments on railway ballast[J].Construction&Building Materials,2015,92:31-42.
[18]MINET J,BOGAERT P,VANCLOOSTER M,et al.Validation of ground penetrating radar full-waveform inversion for field scale soil moisture mapping[J].Journal of Hydrology,2012,425(5):112-123.
[19]TOMPPO L,TIITTA M,LAAKSO T,et al.Dielectric spectroscopy of Scots pine[J].Wood Science&Technology,2009,43(7-8):653-667.
[20]XIAO Z L,WEN J,GAO L,et al.Method of tree radar signal processing based on Curvelet transform[J].Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia,2016,39(7):243-250.
[21]LAHOUR S.Development of Data Analysis Algorithms for Interpretation of Ground Penetrating Radar Data[D].Blacksburrg:Virginia Polytechnic Institute and State University,2003.
[22]PINEL N,BOURLIER C,PINEL N,et al.Electromagnetic Wave Scattering from Random Rough Surfaces:Basics[M].USA:Wiley,2013:1-39.
[23]张安学,蒋延生,汪文秉.圆周探地雷达测量和成像方法的研究[J].电子学报,2002,30(6):853-856.
[24]林耀海,景林,王长缨,等.基于圆弧的原木轮廓的识别与验证[J].福建农林大学学报(自然科学版),2016,45(6):649-654.