Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
This study introduces a new approach for utilizing the neural network for surface current simulation from RADARSAT-1 SAR image. The neural network input is a vector containing the values of the RADARSAT-1 SAR image intensity gradients. In this study, a single feed forward -propagation neural network was utilized to estimate the Doppler frequency shift in order to determine the surface current pattern along RADARSAT-1 SAR image. It is found that, the neural network outperformed conventional regression technique in modeling surface current velocity and their directions. The RMSE detected from NN model was 0.18 m/s. The reduction of the amount of the errors is due to good performance of regression model.
How to cite this article:
Maged Marghany . Radarsat-1 Sar Surface Current Detection By Neural Network.
DOI: https://doi.org/10.36478/ajit.2005.147.151
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2005.147.151