A new relative radiometric consistency processing method for change detection based on wavelet transform and a low-pass filter  

作　　者：SUN KaiMin1,SUI HaiGang1,2,LI DeRen1 & XU Chuan1,2 1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China 2 State Key Laboratory of Subtropical Building Science,South China University of Technology,Guangzhou 510640,China 

出　　处：《Science China(Technological Sciences)》2010年第S1期7-14,共8页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos.40901211,60602013);National Basic Research Program of China ("973" Program)(Grant No.2006CB701304);National High Technology Research and Development Program of China ("863" Program) (Grant No.2007AA120204);LIESMARS Special Research Funding & Research Grant of State Key Laboratory of Subtropical Building Science in South China University of Technology (Grant No.2008KB12)

摘　　要：The research purpose of this paper is to show the limitations of the existing radiometric normalization approaches and their disadvantages in change detection of artificial objects by comparing the existing approaches,on the basis of which a preprocessing approach to radiometric consistency,based on wavelet transform and a spatial low-pass filter,has been devised.This approach first separates the high frequency information and low frequency information by wavelet transform.Then,the processing of relative radiometric consistency based on a low-pass filter is conducted on the low frequency parts.After processing,an inverse wavelet transform is conducted to obtain the results image.The experimental results show that this approach can substantially reduce the influence on change detection of linear or nonlinear radiometric differences in multi-temporal images.The research purpose of this paper is to show the limitations of the existing radiometric normalization approaches and their disadvantages in change detection of artificial objects by comparing the existing approaches,on the basis of which a preprocessing approach to radiometric consistency,based on wavelet transform and a spatial low-pass filter,has been devised.This approach first separates the high frequency information and low frequency information by wavelet transform.Then,the processing of relative radiometric consistency based on a low-pass filter is conducted on the low frequency parts.After processing,an inverse wavelet transform is conducted to obtain the results image.The experimental results show that this approach can substantially reduce the influence on change detection of linear or nonlinear radiometric differences in multi-temporal images.

关 键 词：WAVELET TRANSFORM radiometric NORMALIZATION LOW-PASS filter change detection 

分 类 号：TN713.4[电子电信—电路与系统]