Riemannian sparse coding for classification of PolSAR images
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[1] Wen Yang,et al. Dissimilarity measurements for processing and analyzing PolSAR data: A survey , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[2] Hong Cheng,et al. Sparsity-Induced Similarity Measure and Its Applications , 2016, IEEE Transactions on Circuits and Systems for Video Technology.
[3] Hui Song,et al. Unsupervised classification of polarimetric SAR imagery using large-scale spectral clustering with spatial constraints , 2015 .
[4] Giles M. Foody,et al. Status of land cover classification accuracy assessment , 2002 .
[5] Anoop Cherian,et al. Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Anoop Cherian,et al. Riemannian Sparse Coding for Positive Definite Matrices , 2014, ECCV.
[7] N. Ayache,et al. Log‐Euclidean metrics for fast and simple calculus on diffusion tensors , 2006, Magnetic resonance in medicine.
[8] Hong Sun,et al. Unsupervised Satellite Image Classification Using Markov Field Topic Model , 2013, IEEE Geoscience and Remote Sensing Letters.
[9] Xavier Pennec,et al. A Riemannian Framework for Tensor Computing , 2005, International Journal of Computer Vision.
[10] Anoop Cherian,et al. Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[11] Thomas L. Ainsworth,et al. Unsupervised classification of polarimetric synthetic aperture Radar images using fuzzy clustering and EM clustering , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[12] Ron Kwok,et al. Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution , 1994 .
[13] Motoyuki Sato,et al. Modeling and Interpretation of Scattering Mechanisms in Polarimetric Synthetic Aperture Radar: Advances and perspectives , 2014, IEEE Signal Processing Magazine.