A Study of Land Use Change Detection Based on High Resolution Remote Sensing Images

doi:10.6046/gtzyyg.2012.01.08

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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.

Keywords RapidEye Band Level

TP 79

Issue Date: 07 March 2012

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	YIN Feng
	XIONG De-ke
	XIE Fei

Cite this article:

YIN Feng,XIONG De-ke,XIE Fei. A Study of Land Use Change Detection Based on High Resolution Remote Sensing Images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 43-47.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.01.08 OR https://www.gtzyyg.com/EN/Y2012/V24/I1/43

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