Contemporary concerns in Geographical/Geospatial Information Systems (GIS) processing

With the advent of advances in Geospatial Information Systems (GIS); there is a need to determine the areas of research and new tools available for GIS systems. GIS consists of the collection, integration, storage, exploitation, and visualization of geographic and contextual data and spatial information. Future GIS needs, techniques, models, and standards should be shared openly among developers for future instantiation of products. The summary of selected areas include (1) support for large-data formats including meta-data transparency, (2) adherence to open standards, (3) generation of extensible architectures, and (4) development of a consistent set of metrics for analysis. The future of GIS products will include non-spatial as well as spatial data which requires information fusion, management functions from machine-processed data to user-defined actionable information, and use-case challenge problems for comparison.

[1]  Matt Duckham,et al.  GIS: A Computing Perspective, 2nd Edition , 1995 .

[2]  Timothy D. Ross,et al.  Evaluation of SAR ATR algorithm performance sensitivity to MSTAR extended operating conditions , 1998, Defense, Security, and Sensing.

[3]  Gerald M. Powell,et al.  Issues and challenges of knowledge representation and reasoning methods in situation assessment (Level 2 Fusion) , 2006, SPIE Defense + Commercial Sensing.

[4]  Michael T. Flynn,et al.  Fixing Intel: A Blueprint for Making Intelligence Relevant in Afghanistan , 2010 .

[5]  Olga Mendoza-Schrock,et al.  Video image registration evaluation for a layered sensing environment , 2009, Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON).

[6]  A. Ardeshir Goshtasby,et al.  2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications , 2005 .

[7]  Tao Wang,et al.  Bio-Inspired Adaptive Hyperspectral Imaging for Real-Time Target Tracking , 2010, IEEE Sensors Journal.

[8]  Lawrence Carin,et al.  The ATR Center and ATRpedia , 2008, SPIE Defense + Commercial Sensing.

[9]  Erik Blasch,et al.  Minimum Error Bounded Efficient L1 Tracker with Occlusion Detection (PREPRINT) , 2011 .

[10]  Tom DeMarco,et al.  Controlling Software Projects: Management, Measurement, and Estimates , 1986 .

[11]  Erik Blasch,et al.  Real-time vision-based tracking control of an unmanned vehicle , 1995 .

[12]  Adrian V. Gheorghe,et al.  System of Systems , 2012 .

[13]  Kang-Tsung Chang,et al.  Introduction to Geographic Information Systems , 2001 .

[14]  Erik Blasch,et al.  Fusion of Tracks with Road Constraints , 2008, J. Adv. Inf. Fusion.

[15]  G. A. Watson,et al.  IMMPDAF for radar management and tracking benchmark with ECM , 1998 .

[16]  Erik Blasch,et al.  Ontology alignment in geographical hard-soft information fusion systems , 2010, 2010 13th International Conference on Information Fusion.

[17]  C. Yang,et al.  Nonlinear constrained tracking of targets on roads , 2005, 2005 7th International Conference on Information Fusion.

[18]  Erik Blasch,et al.  Three-dimensional receiver operating characteristic (ROC) trajectory concepts for the evaluation of target recognition algorithms faced with the unknown target detection problem , 1999, Defense, Security, and Sensing.

[19]  Erik Blasch,et al.  Situation, impact, and user refinement , 2003, SPIE Defense + Commercial Sensing.

[20]  Zheng Liu,et al.  Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Genshe Chen,et al.  Image quality assessment for performance evaluation of image fusion , 2008, 2008 11th International Conference on Information Fusion.

[22]  Roland Hausser,et al.  Continuations in Natural Language , 1989 .

[23]  Erik Blasch,et al.  Unmanned vehicles come of age: The DARPA grand challenge , 2006, Computer.

[24]  Chun Yang,et al.  Kalman Filtering with Nonlinear State Constraints , 2009 .

[25]  Guna Seetharaman,et al.  Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video , 2010, 2010 13th International Conference on Information Fusion.

[26]  Erik Blasch,et al.  Joint data management for MOVINT data-to-decision making , 2011, 14th International Conference on Information Fusion.

[27]  E. Blasch,et al.  Assembling a distributed fused information-based human-computer cognitive decision making tool , 2000, IEEE Aerospace and Electronic Systems Magazine.

[28]  Jose B. Cruz,et al.  Game Theoretic Approach to Threat Prediction and Situation Awareness , 2006, 2006 9th International Conference on Information Fusion.

[29]  Erik P. Blasch,et al.  Fusion metrics for dynamic situation analysis , 2004, SPIE Defense + Commercial Sensing.

[30]  Erik Blasch,et al.  Decision-Level Fusion Performance Improvement From Enhanced HRR Radar Clutter Suppression , 2011, J. Adv. Inf. Fusion.

[31]  Li Bai,et al.  Multiple source data fusion via sparse representation for robust visual tracking , 2011, 14th International Conference on Information Fusion.

[32]  Guna Seetharaman,et al.  Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking , 2007, J. Multim..

[33]  S. Plano,et al.  DFIG level 5 (user refinement) issues supporting situational assessment reasoning , 2005, 2005 7th International Conference on Information Fusion.

[34]  I. Kadar,et al.  Resource management coordination with level 2/3 fusion issues and challenges [Panel Report] , 2008, IEEE Aerospace and Electronic Systems Magazine.

[35]  Erik Blasch,et al.  Information assessment of SAR data for ATR , 1998, Proceedings of the IEEE 1998 National Aerospace and Electronics Conference. NAECON 1998. Celebrating 50 Years (Cat. No.98CH36185).

[36]  E. Blasch,et al.  Multiresolution EO/IR target tracking and identification , 2005, 2005 7th International Conference on Information Fusion.

[37]  Erik Blasch,et al.  Hyperspectral imagery throughput and fusion evaluation over compression and interpolation , 2008, 2008 11th International Conference on Information Fusion.

[38]  E. Blasch,et al.  Sensor Management Fusion Using Operating Conditions , 2008, 2008 IEEE National Aerospace and Electronics Conference.

[39]  Lawrence E. McGovern Global Earth Observation System of Systems , 2010 .

[40]  Erik Blasch Flexible vision-based navigation system for unmanned aerial vehicles , 1995, Other Conferences.

[41]  Erik Blasch,et al.  Simultaneous feature-based identification and track fusion , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[42]  Michael F. Worboys,et al.  GIS : a computing perspective , 2004 .

[43]  Li Bai,et al.  Robust infrared vehicle tracking across target pose change using L1 regularization , 2010, 2010 13th International Conference on Information Fusion.

[44]  Li Bai,et al.  Evaluation of visual tracking in extremely low frame rate wide area motion imagery , 2011, 14th International Conference on Information Fusion.