Journal of Physical Chemistry & Biophysics
Open Access

Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran

Publications

• Research Article   
  Graph-Based Feature Reduction for Three-Dimensional Gabor Filter in PolSAR Image Classification
  Author(s): Mohsen Darvishnezhad*
  
  Polarimetric Synthetic Aperture Radar (PolSAR) image classification is one of the most important applications in remote sensing. In this paper, the goal is PolSAR image classification and also to introduce a method to obtain the best result for PolSAR image classification and recognition. In this article, we present the 3D-Gabor filters as a way in order to feature extraction of PolSAR images and get the best result with high accuracy for PolSAR image classification. Also, we prove that the 3D-Gabor filter approach can get higher accuracy than traditional methods for PolSAR images classification, but one of the most important challenges of 3D-Gabor filters is the number of features that are extracted from them. Therefore, by using 3D-Gabor filter we can't reach the optimal result because of the curse of dimensionality. So, to achieve the best results we propose.. View More»
  

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