Game Theoretic Classification of Polarimetric SAR images
Author:
Affiliation:
1. K.N. Toosi University of Technology, Faculty of Geodesy and Geomatics Engineering, ValiAsr Street, Mirdamad cross, 19967-15433, Tehran, Iran
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.5721/EuJRS20154803
Reference27 articles.
1. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
2. Contextual PolSAR image classification using fractal dimension and support vector machines
3. Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective
4. Filtering and Segmentation of Polarimetric SAR Data Based on Binary Partition Trees
5. Hierarchical Segmentation of Polarimetric SAR Images Using Heterogeneous Clutter Models
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