Using deep neural networks for synthetic aperture radar image registration
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[1] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[2] Jan Flusser,et al. Image registration methods: a survey , 2003, Image Vis. Comput..
[3] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[4] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[5] B. N. Chatterji,et al. An FFT-based technique for translation, rotation, and scale-invariant image registration , 1996, IEEE Trans. Image Process..
[6] Yoshua Bengio,et al. Why Does Unsupervised Pre-training Help Deep Learning? , 2010, AISTATS.
[7] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[8] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[9] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.