Terrain classification with Polarimetric SAR based on Deep Sparse Filtering Network
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Jin Zhao | Chen Sun | Shuyuan Yang | Biao Hou | Licheng Jiao | Hongying Liu | Jie Feng | Qiang Min
[1] Wenxian Yu,et al. Superpixel-Based Classification With an Adaptive Number of Classes for Polarimetric SAR Images , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[2] Yamashita,et al. Backpropagation algorithm which varies the number of hidden units , 1989 .
[3] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[4] Shuyuan Yang,et al. Radar target recognition using contourlet packet transform and neural network approach , 2009, Signal Process..
[5] Shuang Wang,et al. Polarimetric SAR images classification using deep belief networks with learning features , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[6] Jiquan Ngiam,et al. Sparse Filtering , 2011, NIPS.
[7] Shuang Wang,et al. Multilayer feature learning for polarimetric synthetic radar data classification , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[8] Ron Kwok,et al. Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution , 1994 .
[9] Chi Hau Chen,et al. Statistical pattern recognition in remote sensing , 2008, Pattern Recognit..
[10] Jong-Sen Lee,et al. Polarimetric SAR speckle filtering and its implication for classification , 1999, IEEE Trans. Geosci. Remote. Sens..