Entropy/anisotropy/alpha based 3DGabor filter bank for PolSAR image classification
Author:
Affiliation:
1. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2142963
Reference56 articles.
1. Incoherent Target Scattering Decomposition of Polarimetric SAR Data Based on Vector Model Roll-Invariant Parameters
2. Classification of polarimetric SAR images using compact convolutional neural networks
3. Textural classification of remotely sensed images using multiresolution techniques
4. Polarimetric SAR Images Classification and Texture Features
5. A Generic Land-Cover Classification Framework for Polarimetric SAR Images Using the Optimum Touzi Decomposition Parameter Subset—An Insight on Mutual Information-Based Feature Selection Techniques
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1. Weighted Features Based Classification of Polarimetric SAR Images;2024 13th Iranian/3rd International Machine Vision and Image Processing Conference (MVIP);2024-03-06
2. A novel self‐supervised ensemble learning framework for land use and land cover classification of polarimetric synthetic aperture radar images;IET Radar, Sonar & Navigation;2023-10-10
3. Fog Density Evaluation by Combining Image Grayscale Entropy and Directional Entropy;Atmosphere;2023-07-07
4. Residual network based on entropy-anisotropy-alpha target decomposition for polarimetric SAR image classification;Earth Science Informatics;2023-01-18
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