In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
369 
A B 
Figure 2 Impervious surface mapping results using different methods: A, multi-class SVM; B, One-class SVM. 
Black: impervious surface, white: non-impervious surface 
5. CONCLUSION 
This paper proposed an impervious surface mapping method 
based on OCSVM and object-based classification method. The 
results showed that the proposed method outperformed the 
existing method using traditional SVM. One of the advantage 
of the proposed OCSVM based method is that it only requires 
the samples from the target class (or class of interest). Further 
work will focus on evaluation of the proposed method using 
more datasets and how to fuse the proposed method and 
existing method to achieve higher accuracy. 
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