Deep Learning Semantic Statistical Features’ Labeling Of SAR Image Based On K-MEANS Clustering And Wavelet Transform

[1]  Fawwaz T. Ulaby,et al.  SAR speckle reduction using wavelet denoising and Markov random field modeling , 2002, IEEE Trans. Geosci. Remote. Sens..

[2]  David A. Clausi,et al.  Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Fan Wang,et al.  Unsupervised SAR Image Segmentation Based on Triplet Markov Fields With Graph Cuts , 2014, IEEE Geoscience and Remote Sensing Letters.

[4]  H. Arsenault,et al.  Properties of speckle integrated with a finite aperture and logarithmically transformed , 1976 .

[5]  F. Parmiggiani,et al.  An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Hiok Chai Quek,et al.  R-POPTVR: A Novel Reinforcement-Based POPTVR Fuzzy Neural Network for Pattern Classification , 2009, IEEE Transactions on Neural Networks.

[7]  Debasish Biswas,et al.  Soil Classification From Large Imagery Databases Using a Neuro-Fuzzy Classifier , 2016, Canadian Journal of Electrical and Computer Engineering.

[8]  Josiane Zerubia,et al.  Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model , 2013, IEEE Transactions on Image Processing.

[9]  Fang Liu,et al.  POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information , 2016, IEEE Transactions on Geoscience and Remote Sensing.