Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar System

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.

[1]  Inder J. Gupta,et al.  A novel signal processing technique for clutter reduction in GPR measurements of small, shallow land mines , 2000, IEEE Trans. Geosci. Remote. Sens..

[2]  Hakan O. Brunzell.  Clutter reduction and object detection in surface penetrating radar , 1997 .

[3]  A. Harati-Mokhtari,et al.  Automatic Identification System (AIS): Data Reliability and Human Error Implications , 2007, Journal of Navigation.

[4]  John H. Holland,et al.  Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.

[5]  Henry Leung,et al.  Sea-clutter modeling using a radial-basis-function neural network , 2001 .

[6]  Katrin Hessner,et al.  Signal-to-noise ratio analysis to estimate ocean wave heights from X-band marine radar image time series , 2008 .

[7]  Ian D. Cluckie,et al.  Classification of Ground Clutter and Anomalous Propagation Using Dual-Polarization Weather Radar , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Bernard Widrow,et al.  Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[9]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[10]  Jan Larsen,et al.  Independent component analysis for clutter reduction in ground penetrating radar data , 2002, SPIE Defense + Commercial Sensing.

[11]  Henry Leung,et al.  Signal detection using the radial basis function coupled map lattice , 2000, IEEE Trans. Neural Networks Learn. Syst..

[12]  Dragana Carevic.  Clutter reduction and target detection in ground-penetrating radar data using wavelets , 1999, Defense, Security, and Sensing.

[13]  Alan J. Dix,et al.  A Taxonomy of Clutter Reduction for Information Visualisation , 2007, IEEE Transactions on Visualization and Computer Graphics.

[14]  H.B.D. Sorensen,et al.  Comparison of PCA and ICA based clutter reduction in GPR systems for anti-personal landmine detection , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

[15]  Odd M. Faltinsen,et al.  Sea loads on ships and offshore structures , 1990 .

[16]  Dragana Carevic.  Clutter Reduction and Detection of Minelike Objects in Ground Penetrating Radar Data Using Wavelets , 2000 .

[17]  David Haussler,et al.  What Size Net Gives Valid Generalization? , 1989, Neural Computation.

[18]  J. Nazuno.  Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .

[19]  Jens Dannenberg,et al.  X-Band Radar as a Tool to Determine Spectral and Single Wave Properties , 2006 .

[20]  Friedwart Ziemer,et al.  RADAR SURVEY OF NEAR SHORE BATHYMETRY WITHIN THE OROMA PROJECT , 2004 .

[21]  Alan J. Dix,et al.  Enabling Automatic Clutter Reduction in Parallel Coordinate Plots , 2006, IEEE Transactions on Visualization and Computer Graphics.