Abstract
This paper presents a new method for residential areas extraction from multispectral satellite imagery. First, the image is preprocessed so that non-residential areas noises such as vegetation regions, shadows and water areas are removed. Second, the preprocessed image is classified into two categories by texture features: residential areas class and non-residential areas class. Finally, the residential areas class is refined by using a series of morphology operations. The experimental results show that this method is effective in extracting residential areas from multispectral satellite imagery.
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Acknowledgments
This work is supported by the project of science and technology of Fujian province (2016H0001), the project of Fuzhou Municipal Science and Technology Bureau (2015-G-53), and the key project of science and technology of Fujian province (2014H6006).
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Xu, R., Zeng, Y., Liang, Q. (2017). A New Method for Extraction of Residential Areas from Multispectral Satellite Imagery. In: Pan, JS., Snášel, V., Sung, TW., Wang, X. (eds) Intelligent Data Analysis and Applications. ECC 2016. Advances in Intelligent Systems and Computing, vol 535. Springer, Cham. https://doi.org/10.1007/978-3-319-48499-0_12
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DOI: https://doi.org/10.1007/978-3-319-48499-0_12
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