建筑物形变与结构应变三维数字摄影测量与数学模型研究

Aiming at the appication of digital photogrammtry for testing structure stain & deformation, we established a 3-D adjustment model based on coordinate difference. In automatically recogniting objects and extracting features of images,two class Gaussian wavelets (including Gaussian symmetric wavelets and antisymmetric wavelets) have been established in this research item supputed by NSFC.We put forward the practical formulae for space filter impulse response g(n,σ) and h(n,σ) regarding two class of Gaussian wavelets and give several group coefficients of the filters used in our study. Ones may derive adaptively coefficients of filters related to two class Gaussian wavelets given in our papers by selecting appropriate parameterσvalues for special object extraction in images. The results are being applied in fields of recogniting objects and extracting features in machine vision、remote sensing and SAR images.

数字摄影测量技术应用于城市危病建筑监测，结构应变测试，研究无接触、高精度三维空间形变与应变量的实时测试方法。建立基于坐标差的高精度二维数字影像空间与三维实空间数学变换模型。利用多分辨小波变换研究有关数字图像识别、匹配与提取。本课题研究成果将广泛用于危、病建筑监测与结构应变测试，对城市及工程减灾将起到重要作用。