A method of land use/land cover change detection from remote sensing image based on support vector machines

Jiakui Tang; Yincui Hu; Xiuwan Chen; Guangxia Li

doi:10.1117/12.774864

10 November 2007 A method of land use/land cover change detection from remote sensing image based on support vector machines

Jiakui Tang, Yincui Hu, Xiuwan Chen, Guangxia Li

Author Affiliations +

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67953L (2007) https://doi.org/10.1117/12.774864
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

Land cover/land use has become one of the crucial but basic tasks in carrying out a series of important work. With the development of remote sensing techniques and Geo analysis model, using remotely sensed data to monitor the status and dynamical change of land cover/land use has become one of the most rapid, credible and effectual approaches. To improve the accuracy of change detection from remote sensing image, this paper introduces a new method of change detection from remote sensing image based on support vector machine (SVM), using multi-spectral remote sensing data. We choose Hengshui city in China as a typical studying sample. The result shows that it is competitive with other recently developed methods for change detection when applied to the same data sets and yield good performance with very limited training data.

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Jiakui Tang, Yincui Hu, Xiuwan Chen, and Guangxia Li "A method of land use/land cover change detection from remote sensing image based on support vector machines", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67953L (10 November 2007); https://doi.org/10.1117/12.774864

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