Combined Use of Optical Imaging Satellite Data and Electronic Intelligence Satellite Data for Large Scale Ship Group Surveillance

We propose a novel framework for large-scale maritime ship group surveillance using spaceborne optical imaging satellite data and Electronic Intelligence (ELINT) satellite data. Considering that the size of a ship is usually less than the distance between different ships for large-scale maritime surveillance, we treat each ship as a mass point and ship groups are modelled as point sets. Motivated by the observation that ship groups performing tactical or strategic operations often have a stable topology and their attributes remain unchanged, we combine both topological features and attributive features within the framework of Dempster-Shafer (D-S) theory for coherent ship group analysis. Our method has been tested using different sets of simulated data and recorded data. Experimental results demonstrate our method is robust and efficient for large-scale maritime surveillance.

[1]  James Llinas,et al.  Handbook of Multisensor Data Fusion : Theory and Practice, Second Edition , 2008 .

[2]  H. Ji,et al.  Improved relaxation algorithm for passive sensor data association , 2012 .

[3]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[4]  J. K. E. Tunaley,et al.  Algorithms for ship detection and tracking using satellite imagery , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Cheng Wang,et al.  Pyramid binary pattern features for real-time pedestrian detection from infrared videos , 2011, Neurocomputing.

[6]  Huanxin Zou,et al.  Multimodal Remote Sensing Data Fusion via Coherent Point Set Analysis , 2013, IEEE Geoscience and Remote Sensing Letters.

[7]  Jesús García,et al.  Robust sensor fusion in real maritime surveillance scenarios , 2010, 2010 13th International Conference on Information Fusion.

[8]  Peter Willett,et al.  Radar/AIS data fusion and SAR tasking for Maritime Surveillance , 2008, 2008 11th International Conference on Information Fusion.

[9]  Thomas Hofmann,et al.  Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.

[10]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[11]  Hui Zhou,et al.  A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Arthur P. Dempster,et al.  A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.