Dynamic learning neural network with optimal multipolarization approach to classification of terrain covers from polarimetric SAR data

1994 ◽  
Author(s):  
Kun S. Chen ◽  
W. L. Kao ◽  
A. Faouzi
2012 ◽  
Vol 4 (11) ◽  
pp. 3571-3595 ◽  
Author(s):  
Gonzalo Pajares ◽  
Carlos López-Martínez ◽  
F. Sánchez-Lladó ◽  
Íñigo Molina

Author(s):  
Katmoko Ari Sambodo ◽  
Aniati Murni ◽  
Mahdi Kartasasmita ◽  
Mahdi Kartasasmita

This paper shows a study on an alternative method for classification of polarimetric-SAR data. The method is designed by integrating the comined features extracted from two scattering models(i.e., freeman decomposition model and cloud decomposition model) and textural analysis with distribution-free neural network classifier. The neural network classifier (wich is based on a feedforward back-propagation neural network architecture) properly exploits the information in the combined features for providing high accuracy classification result. The effectiveness of the proposed method is demonstrated using E-SAR polarimetric data acquired on the area of Penajam, East Kalimantan, Indonesia. Keywords: Polarimetric-SAR, scattering model, freeman decomposition, Cloude decomposition, texture analysis, feature extraction, classification, neural networks.


2002 ◽  
Vol 6 (3) ◽  
pp. 217-232 ◽  
Author(s):  
Martin Hellmann ◽  
Gunther Jäger

2019 ◽  
Vol 57 (10) ◽  
pp. 7476-7491 ◽  
Author(s):  
Mohsen Ghanbari ◽  
David A. Clausi ◽  
Linlin Xu ◽  
Mingzhe Jiang
Keyword(s):  
Sea Ice ◽  

Sign in / Sign up

Export Citation Format

Share Document