Sensor data fusion techniques for environment modelling

In the article data fusion techniques for underwater environment modelling are presented. For better understanding the problem, authors divided data fusion techniques into three parts, in reference to the output information that needed to be obtained.

[1]  Andrzej Stateczny,et al.  Radar sensors implementation in river information services in Poland , 2014, 2014 15th International Radar Symposium (IRS).

[2]  Marta Wlodarczyk-Sielicka,et al.  Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods , 2015, 2015 16th International Radar Symposium (IRS).

[3]  Andrzej Stateczny,et al.  FMCW radar implementation in River Information Services in Poland , 2015, 2015 16th International Radar Symposium (IRS).

[4]  W. Kazimierski,et al.  Verification of multiple model neural tracking filter with ship's radar , 2012, 2012 13th International Radar Symposium.

[5]  Andrzej Stateczny,et al.  Sensor data fusion in inland navigation , 2013, 2013 14th International Radar Symposium (IRS).

[6]  Andrzej Stateczny,et al.  Aspects of spatial planning of radar sensor network for inland waterways surveillance , 2009, 2009 European Radar Conference (EuRAD).

[7]  Andrzej Stateczny,et al.  Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices , 2006, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

[8]  W. Kazimierski,et al.  Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars , 2008, 2008 International Radar Symposium.

[9]  Andrzej Stateczny,et al.  Analysis of beam sharpening effectiveness in broadband radar on inland waters , 2015, 2015 16th International Radar Symposium (IRS).

[10]  Natalia Wawrzyniak,et al.  Model of Collaborative Data Exchange for Inland Mobile Navigation , 2014, ACS.

[11]  Andrzej Stateczny.  Artificial Neural Networks for Comparative Navigation , 2004, ICAISC.

[12]  Andrzej Stateczny,et al.  Radar sensors planning for the purpose of extension of River Information Services in Poland , 2015, 2015 16th International Radar Symposium (IRS).

[13]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[14]  Jerzy Balicki,et al.  Extended Hopfield models of neural networks for combinatorial multiobjective optimization problems , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[15]  W. Kazimierski,et al.  A comparison of the target tracking in marine navigational radars by means of GRNN filter and numerical filter , 2008, 2008 IEEE Radar Conference.

[16]  Marta Wlodarczyk-Sielicka,et al.  Self-organizing Artificial Neural Networks into Hydrographic Big Data Reduction Process , 2014, RSEISP.

[17]  Witold Kazimierski,et al.  Optimization of multiple model neural tracking filter for marine targets , 2012, 2012 13th International Radar Symposium.

[18]  Izabela Bodus-Olkowska,et al.  Hierarchical Hydrographic Data Fusion for Precise Port Electronic Navigational Chart Production , 2014, TST.

[19]  A. Stateczny.  The Neural Method Of Sea Bottom ShapeModelling For The Spatial Maritime InformationSystem , 2000 .

[20]  Cedric Nishan Canagarajah,et al.  Pixel- and region-based image fusion with complex wavelets , 2007, Inf. Fusion.

[21]  Andrzej Stateczny.  Neural Manoeuvre Detection of the Tracked Target in ARPA Systems , 2001 .

[22]  Wojciech Maleika.  Moving average optimization in digital terrain model generation based on test multibeam echosounder data , 2014, Geo-Marine Letters.

[23]  Vladimir Petrovic,et al.  Focused pooling for image fusion evaluation , 2015, Inf. Fusion.

[24]  Belur V. Dasarathy,et al.  Medical Image Fusion: A survey of the state of the art , 2013, Inf. Fusion.

[25]  Andrzej Stateczny,et al.  Fusion of data from AIS and tracking radar for the needs of ECDIS , 2013, 2013 Signal Processing Symposium (SPS).

[26]  H. B. Mitchell.  Image Fusion: Theories, Techniques and Applications , 2010 .

[27]  Andrzej Stateczny,et al.  Concept of Neural Model of the Sea Bottom Surface , 2003 .

[28]  Rita Almeida Ribeiro,et al.  FIF: A fuzzy information fusion algorithm based on multi-criteria decision making , 2014, Knowl. Based Syst..

[29]  A Stateczny.  Methods Of Comparative Plotting Of The Ship’s Position , 2002 .

[30]  Andrzej Stateczny,et al.  Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System , 2015 .