A statistical overview of recent literature in information fusion

The objective of this paper is to make a picture of the recent articles published on information fusion. Indeed, a great number of documents dealing with this technique are available in the literature. A classification scheme including application fields, fusion goals, fusion system architecture and mathematical tools is proposed. This overview of the last three years allows one to compute the article distribution in each class. Finally, some elements of a preliminary analysis of this classification are drawn.

[1]  D. Dubois,et al.  Properties of measures of information in evidence and possibility theories , 1987 .

[2]  James M. Keller,et al.  Fuzzy Set Methods in Pattern Recognition , 1988, Pattern Recognition.

[3]  Ren C. Luo,et al.  Multisensor integration and fusion for intelligent machines and systems , 1995 .

[4]  Y. Bar-Shalom,et al.  IMM estimation for multitarget-multisensor air traffic surveillance , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[5]  Cheng-Jen Lin,et al.  An intelligent sensor fusion system for tool monitoring on a machining centre , 1996 .

[6]  Hong Yan,et al.  A Kriging Fuzzy Integral , 1997, Inf. Sci..

[7]  Ronald R. Yager,et al.  A general approach to the fusion of imprecise information , 1997, Int. J. Intell. Syst..

[8]  A. Willsky,et al.  A multiresolution methodology for signal-level fusion and data assimilation with applications to remote sensing , 1997, Proc. IEEE.

[9]  Josef Kittler,et al.  Strategies for combining classifiers employing shared and distinct pattern representations , 1997, Pattern Recognit. Lett..

[10]  Jung-Hsien Chiang,et al.  Handwritten word recognition with character and inter-character neural networks , 1997, IEEE Trans. Syst. Man Cybern. Part B.

[11]  Edwin R. Hancock,et al.  Multi-sensor Fusion with Bayesian Inference , 1997, CAIP.

[12]  Stelios C. A. Thomopoulos,et al.  Distributed Fusion Architectures and Algorithms for Target Tracking , 1997, Proc. IEEE.

[13]  Dennis M. Buede,et al.  A target identification comparison of Bayesian and Dempster-Shafer multisensor fusion , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[14]  Ronald P. S. Mahler,et al.  The modified Dempster-Shafer approach to classification , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[15]  David D. Sworder,et al.  Image fusion for tracking manoeuvring targets , 1997, Int. J. Syst. Sci..

[16]  Kevin W. Bowyer,et al.  Combination of Multiple Classifiers Using Local Accuracy Estimates , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Jake K. Aggarwal,et al.  Physics-based integration of multiple sensing modalities for scene interpretation , 1997 .

[18]  Moshe Kam,et al.  Sensor Fusion for Mobile Robot Navigation , 1997, Proc. IEEE.

[19]  Belur V. Dasarathy,et al.  Sensor fusion potential exploitation-innovative architectures and illustrative applications , 1997, Proc. IEEE.

[20]  Dong Hoon Lee,et al.  An efficient algorithm for fuzzy weighted average , 1997, Fuzzy Sets Syst..

[21]  F. Martinerie,et al.  Data fusion and tracking using HMMs in a distributed sensor network , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[22]  Francisco Herrera,et al.  Aggregation operators for linguistic weighted information , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[23]  Hichem Frigui,et al.  Clustering by competitive agglomeration , 1997, Pattern Recognit..

[24]  Paolo Bison,et al.  A Syntactical Approach to Data Fusion , 1997, ECSQARU-FAPR.

[25]  A. Farina,et al.  The fusion of different resolution SAR images , 1997 .

[26]  R. T. Antony,et al.  Database support to data fusion automation , 1997, Proc. IEEE.

[27]  Rick S. Blum,et al.  Distributed detection with multiple sensors I. Advanced topics , 1997, Proc. IEEE.

[28]  Alain Appriou,et al.  Multiple signal tracking processes , 1997 .

[29]  Michel Grabisch,et al.  Tracks real‐time classification based on fuzzy rules , 1997 .

[30]  Sukhan Lee.  Sensor Fusion and Planning with Perception–Action Network , 1997, J. Intell. Robotic Syst..

[31]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[32]  L. Wald,et al.  Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images , 1997 .

[33]  Pramod K. Varshney,et al.  Distributed detection with multiple sensors I. Fundamentals , 1997, Proc. IEEE.

[34]  Rudolf Kruse,et al.  A neuro-fuzzy method to learn fuzzy classification rules from data , 1997, Fuzzy Sets Syst..

[35]  Rama Chellappa,et al.  On the positioning of multisensor imagery for exploitation and target recognition , 1997 .

[36]  B. Dasarathy.  Fuzzy evidential reasoning approach to target identity and state fusion in multisensor environments , 1997 .

[37]  A. Bastière.  Fusion methods for multisensor classification of airborne targets , 1997 .

[38]  Paolo Gamba,et al.  Scene interpretation by fusion of segment and region information , 1997, Image Vis. Comput..

[39]  Soo-Chang Pei,et al.  Vehicle-type motion estimation by the fusion of image point and line features , 1998, Pattern Recognit..

[40]  Yoke San Wong,et al.  An intelligent sensor system approach for reliable tool flank wear recognition , 1998 .

[41]  James C. Bezdek,et al.  Nearest prototype classification: clustering, genetic algorithms, or random search? , 1998, IEEE Trans. Syst. Man Cybern. Part C.

[42]  Abdolhossein Nejatali,et al.  Novel image fusion methodology using fuzzy set theory , 1998 .

[43]  R. Saha,et al.  An efficient algorithm for multisensor track fusion , 1998 .

[44]  C. Dujet,et al.  Data fusion modeling human behavior , 1998 .

[45]  Heping Pan,et al.  Inference Algorithms in Bayesian Networks and the Probanet System , 1998, Digit. Signal Process..

[46]  Philippe Martinet,et al.  Vision-Based Control in Driving Assistance of Agricultural Vehicles , 1998, Int. J. Robotics Res..

[47]  Fabrizio Russo.  Recent advances in fuzzy techniques for image enhancement , 1998, IEEE Trans. Instrum. Meas..

[48]  Marc Acheroy,et al.  Multilevel data fusion for the detection of targets using multispectral image sequences , 1998 .

[49]  É. Bossé,et al.  Managing evidential reasoning for identity information fusion , 1998 .

[50]  D Wang,et al.  Use of fuzzy-logic-inspired features to improve bacterial recognition through classifier fusion , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[51]  Takeo Kanade,et al.  Neural Network-Based Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[52]  Christine Pohl,et al.  Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .

[53]  Lucien Wald,et al.  A European proposal for terms of reference in data fusion , 1998 .

[54]  Xiaoou Tang,et al.  Multiple competitive learning network fusion for object classification , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[55]  Isabelle Bloch,et al.  Introduction of neighborhood information in evidence theory and application to data fusion of radar and optical images with partial cloud cover , 1998, Pattern Recognit..

[56]  Douglas J. Granrath,et al.  Fusion of images on affine sampling grids , 1998 .

[57]  Ronald R. Yager,et al.  Fusion of ordinal information using weighted median aggregation , 1998, Int. J. Approx. Reason..

[58]  George A. Lampropoulos,et al.  Constant false alarm rate detection of point targets using distributed sensors , 1998 .

[59]  Robin R. Murphy.  Sensor and Information Fusion for Improved Vision-Based Vehicle Guidance , 1998, IEEE Intell. Syst..

[60]  Ronald R. Yager.  New modes of OWA information fusion , 1998, Int. J. Intell. Syst..

[61]  Pierre Borne,et al.  Modeling of reliability with possibility theory , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[62]  Mohan M. Trivedi,et al.  A neuro-fuzzy controller for mobile robot navigation and multirobot convoying , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[63]  T. Toutin.  SPOT and Landsat stereo fusion for data extraction over mountainous areas , 1998 .

[64]  Hong Yan,et al.  Human Face Image Recognition: An Evidence Aggregation Approach , 1998, Comput. Vis. Image Underst..

[65]  Thierry Blu,et al.  Using iterated rational filter banks within the ARSIS concept for producing 10 m Landsat multispectral images , 1998 .

[66]  Kurosh Madani,et al.  Hybrid neural-based decision level fusion architecture: application to road traffic collision avoidance , 1998 .

[67]  Gilles Trystram,et al.  APPLICATION OF FUZZY RULES-BASED MODELS TO PREDICTION OF QUALITY DEGRADATION OF RICE AND MAIZE DURING HOT AIR DRYING , 1998 .

[68]  Palma Blonda,et al.  Model transitions in descending FLVQ , 1998, IEEE Trans. Neural Networks.

[69]  Agustín Jiménez,et al.  Multisensor Fusion: An Autonomous Mobile Robot , 1998, J. Intell. Robotic Syst..

[70]  Thierry Ranchin,et al.  Benefit of the future SPOT-5 and of data fusion to urban roads mapping , 1998 .

[71]  Fabrice Janez,et al.  Theory of evidence and non-exhaustive frames of discernment: Plausibilities correction methods , 1998, Int. J. Approx. Reason..

[72]  Ronald R. Yager,et al.  Full reinforcement operators in aggregation techniques , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[73]  Robin R. Murphy,et al.  Dempster-Shafer theory for sensor fusion in autonomous mobile robots , 1998, IEEE Trans. Robotics Autom..

[74]  A. Bastière.  Methods for multisensor classification of airborne targets integrating evidence theory , 1998 .

[75]  B. Solaiman,et al.  Information fusion, application to data and model fusion for ultrasound image segmentation , 1999, IEEE Transactions on Biomedical Engineering.

[76]  Jocelyn Chanussot,et al.  Fuzzy fusion techniques for linear features detection in multitemporal SAR images , 1999, IEEE Trans. Geosci. Remote. Sens..

[77]  David A. Landgrebe,et al.  Decision fusion approach for multitemporal classification , 1999, IEEE Trans. Geosci. Remote. Sens..

[78]  Lucien Wald,et al.  Some terms of reference in data fusion , 1999, IEEE Trans. Geosci. Remote. Sens..

[79]  Ehud Rivlin,et al.  Exploiting process integration and composition in the context of active vision , 1999, IEEE Trans. Syst. Man Cybern. Part C.

[80]  Bassel Solaiman,et al.  Multisensor data fusion using fuzzy concepts: application to land-cover classification using ERS-1/JERS-1 SAR composites , 1999, IEEE Trans. Geosci. Remote. Sens..

[81]  Mark E. Oxley,et al.  Physiologically motivated image fusion for object detection using a pulse coupled neural network , 1999, IEEE Trans. Neural Networks.

[82]  Wei Chang,et al.  Performance and geometric interpretation for decision fusion with memory , 1999, IEEE Trans. Syst. Man Cybern. Part A.

[83]  Rudolf Kruse,et al.  Obtaining interpretable fuzzy classification rules from medical data , 1999, Artif. Intell. Medicine.

[84]  Costas Tsatsoulis,et al.  Information fusion for estimation of summer MIZ ice concentration from SAR imagery , 1999, IEEE Trans. Geosci. Remote. Sens..

[85]  Murali Tummala,et al.  Fuzzy logic data correlation approach in multisensor-multitarget tracking systems , 1999, Signal Process..

[86]  Peter Willett,et al.  Predetection fusion: resolution cell grid effects , 1999 .

[87]  Hugh F. Durrant-Whyte,et al.  A high integrity navigation architecture for outdoor autonomous vehicles , 1999, Robotics Auton. Syst..

[88]  E. Mayoraz,et al.  Fusion of face and speech data for person identity verification , 1999, IEEE Trans. Neural Networks.

[89]  Michel Grabisch,et al.  A method for still image interpretation relying on a multi-algorithms fusion scheme. Application to human face characterization , 1999, Fuzzy Sets Syst..

[90]  Isabelle Bloch,et al.  A first step toward automatic interpretation of SAR images using evidential fusion of several structure detectors , 1999, IEEE Trans. Geosci. Remote. Sens..

[91]  D. Dubois,et al.  Qualitative possibility theory and its applications to constraint satisfaction and decision under uncertainty , 1999 .

[92]  Bernadette Dorizzi,et al.  Neural networks and fuzzy data fusion. Application to an on-line and real time vehicle detection system , 1999, Pattern Recognit. Lett..

[93]  J. Dezert.  Improvement of strapdown inertial navigation using PDAF , 1999 .

[94]  Arthur C. Sanderson,et al.  Minimal representation multisensor fusion using differential evolution , 1999, IEEE Trans. Syst. Man Cybern. Part A.