Dynamic Damage Identification of Engineering Structures Based on Remote Sensing Data
Aiming at regularly monitoring the condition of engineering structures,this paper studies the dynamic damage identi-fication method of engineering structures based on remote sensing data,solves the problem of obtaining rough images,and im-proves the damage identification effect of micro engineering structures.The two-dimensional histogram of remote sensing image of engineering structure is calculated by using two-dimensional Tsalliscross entropy.The chaotic CSalgorithm is formed by intro-ducing the chaotic disturbance operator of logistic map into cuckoo search algorithm(CS).The threshold selection process of two-dimensional Tsallis cross entropy is improved.After obtaining the best threshold value,the remote sensing image of engineering structure is segmented and the segmented remote sensing image is enhanced,The processed images are input as SVM classification and recognition model to complete the dynamic identification and classification of damage.The experimental results show that the remote sensing image obtained by this method has high accuracy,the segmented image is clear and the edges of each region are complete.It can identify small crack damage and restore the crack width and linear characteristics to the greatest extent.The rec-ognition result has large image information content,low recognition mean square error and high square correlation coefficient.
NETL
NSTL
万方数据
维普
