[1] Zhang X R, Jiao L C, Liu F, et al. Spectral Clustering Ensemble Applied to SAR Image Segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing,2008,46(7):2126—2136.
[3] Zhu X J. Semisupervised learning literature survey[M]. Computer Sciences Technical Report 1530, University of Wisconsinmadison, July,2008.
[4] Xu J Z, Chen X M, Huang X J. Interactive Image Segmentation by Semisupervised Learning Ensemble[C]. Proceedings of the 2008 International Symposium on Knowledge Acquisition and Modeling. IEEE Computer Society,2008,645—648.
[5] Belkin M, Niyogi P, Sindhwani V. Manifold Regularization: a Geometric Framework for Learning from Labeled and Unlabeled Examples[J]. Journal of Machine Learning Research,2006,7:2399—2434.
[6] Vincent L, Solille P. Watershed in Digital Spaces: An Efficient Algorithm Based Immersion Simulations[J]. IEEE Trans. on PAMI,1991,13(6):38—598.
[7] Haris K. Hybrid Image Segmentation Using Watersheds and Fast Region Merging[J]. IEEE Transactions on Image Processing,1998,7(12):1684—1699.
[8] Zelnik M L, Perona P. SelfTuning Spectral Clustering[C]. Advances in Neural Information Processing Systems, MIT Press,2004,17:1601—1608.
[9] Hu Z L, Guo D Z, Sheng Y H. Extracting textural information of satellite SAR image based on wavelet decomposilion[J]. Journal of Remote Sensing,2001,5:423—427.
[10] Wu K P, Wang S D. Choosing the Kernel parameters of Support Vector Machines According to the Intercluster Distance[J]. Pattern Recognition,2009,42(5):710—717.