A Study of Land Use Change Detection Based on High Resolution Remote Sensing Images
WANG Yan1, SHU Ning1,2, GONG Yan1
1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Abstract：An approach to land use change detection by using high resolution remote sensing images is put forward in this paper. With the help of GIS land use map, image objects can be obtained by the matching of land use map and remote sensing images in the same region. Meanwhile pixel-based supervised classification is conducted for each image so that each pixel has its own class code. Then image subsegments can be obtained based on the image segment and the class code of each pixel within it. Image subsegments can be regarded as the basic units for feature extraction. Correlation coefficient is used for detecting changes between the images gotten from different time periods, and instead of the empirical selection, the change threshold is founded automatically by using ROC curve (receiver operating characteristic curve). Two multispectral Quickbird images obtained in 2002 and 2005 respectively and a 1:10 000 land use map of 2002 in the same region were used in the experiment. This study area is located in Wuhan City and the result shows that most land use changes can be detected, and hence this approach is effective.
王琰, 舒宁, 龚龑. 高分辨率遥感影像土地利用变化检测方法研究[J]. 国土资源遥感, 2012, 24(1): 43-47.
WANG Yan, SHU Ning, GONG Yan. A Study of Land Use Change Detection Based on High Resolution Remote Sensing Images. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 43-47.
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2012, Vol. 24 
