Using of Synthetic Images on Accuracy Assessment of Change Detection

作     者：Helio R. Bittencourt Daniel C. Zanotta and Thiago Bazzan 

作者机构：Department of Statistics Pontifical Catholic University of Rio Grande do Sul Porto Alegre 90619-900 Brazil Remote Sensing Division National Institute for Space Research Sao Jose dos Campos 12227-010 Brazil National Institute for Science Education and Technology Rio Grande 96201-460 Brazil Laboratory of lmage Processing Pontifical Catholic University of Rio Grande do Sul Porto Alegre 90619-900 Brazil 

出 版 物：《Journal of Earth Science and Engineering》 (地球科学与工程（英文版）)

年 卷 期：2012年第2卷第11期

页      面：659-662页

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 081105[工学-导航、制导与控制] 0802[工学-机械工程] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

主　　题：Change detection accuracy assessment signal-to-noise ratio (SNR). 

摘      要：Land cover change detection is the major goal in multitemporal remote sensing studies. It is well known that remotely-sensed images of the same area acquired on different dates tend to be affected by radiometric differences and registration problems. These influences are considered as noise in the process and may induce the user to both： signalling false changes and masking real surface changes. The difference image produced by subtracting two co-registered images is a standard initial step in change detection algorithms. This image naturally appears to be noisier than the original ones and has at least two populations： （1） the noise-like and （2） the real changes. The problem that arises is how to discriminate them. There are several approaches to perform change detection reported in the literature and some studies have employed synthetic images. By using synthetic images, the accuracy assessment of specific algorithm can be done more accurately. The question at this point is： what is the acceptable noise level to be added on the synthetic images to simulate a real problem？ This paper attempts to answer this question by suggesting values of SNR （signal-to-noise ratio） obtained from experiments performed on TM-Landsat-5 and CCD-CBERS-2B images.