基于ENVI+IDL的断裂构造遥感影像自动提取研究

The Fault Automatic Extraction of Remote Sensing Images Based on ENVI+IDL

从遥感影像中自动提取断裂构造信息是工程地质遥感解译的重要内容之一.通过对比研究现有断裂构造自动提取的方法和技术,首先对比研究了基于主成份变换和波段运算的图像处理方法在目标信息提取中的优劣,其次通过对预处理影像进行不同的滤波去噪处理,最后利用Canny运算和霍夫变换算法基于ENVI+IDL编程实现了断裂构造信息的自动提取.通过实验验证,结果表明:基于主成份变换、Leefilt滤波处理和霍夫变换算法可比较有效地提取TM影像中的断裂构造信息.

Extracting fault information automatically from remote sensing images is an important content of geological remote sensing interpretation.Comparing with the study of existing methods and techniques for fault automatic extraction,the extract method based on principal component analysis and image enhancement processing is firstly studied by preprocessing images with different denoising filter,then the automatic information extraction of faults using Canny operator and Hough transform algorithm is realized based on ENVI＋IDL programming.The experimental results show that the algorithm based on principal component analysis,Lee filter and Hough transform algorithm can extract better fault information from TM remote sensing images.