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Updated: May 22, 2026
End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
Published on: December 15, 2023
Sea clutter reduction and target enhancement by neural networks in a marine radar system
Raúl Vicen-Bueno1, Rubén Carrasco-Álvarez, Manuel Rosa-Zurera
1Signal Theory and Communications Department, Superior Politechnic School, University of Alcalá, Alcalá de Henares, 28805, Madrid, Spain.
Abstract:
The presence of sea clutter in marine radar signals is sometimes not desired. So, efficient radar signal processing techniques are needed to reduce it. In this way, nonlinear signal processing techniques based on neural networks (NNs) are used in the proposed clutter reduction system. The developed experiments show promising results characterized by different subjective (visual analysis of the processed radar images) and objective (clutter reduction, target enhancement and signal-to-clutter ratio improvement) criteria. Moreover, a deep study of the NN structure is done, where the low computational cost and the high processing speed of the proposed NN structure are emphasized.