3 November 2010 A new tolerant rough set on remote sensing data classification
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Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 78410A (2010) https://doi.org/10.1117/12.873203
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China
Abstract
Image classification is an important technique in the digital earth. This paper gives a comprehensive study on a new proposed tolerant rough set classification method. Its essence lies in introducing the idea of k-nearest neighbors into the construction of rough set. Experiment is carried out with Landsat-5 TM image of eastern Beijing. Classification result is analyzed in detail and compared with that of the current tolerant rough set method. Outcome indicates that the method is more interpretable and reliable, and is good at handling uncertainty in the process of satellite remote sensing data classification. Also it is a promising tool at classifying areas with complex spectral feature distribution.
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Liwei Li, Liwei Li, Liping Lei, Liping Lei, Jianwen Ma, Jianwen Ma, } "A new tolerant rough set on remote sensing data classification", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78410A (3 November 2010); doi: 10.1117/12.873203; https://doi.org/10.1117/12.873203
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