TY - CONF TI - On the use of Thin Plastic Films as Gas-Phase Analog Targets T2 - IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium SP - IV - 577 EP - IV - 580 AU - R. G. Resmini AU - H. J. Mitchell PY - 2008 KW - data acquisition KW - geophysical equipment KW - plastics KW - polymer films KW - remote sensing KW - AD 2003 KW - AD 2005 KW - HSI sensors KW - data acquisition KW - gas effluence KW - gas-phase analog targets KW - ground truth data KW - hyperspectral imagery KW - plastic plumes KW - polyethylene thin film panels KW - remote sensing KW - thin plastic films KW - Apertures KW - Chemicals KW - Effluents KW - Hyperspectral imaging KW - Hyperspectral sensors KW - Impedance KW - Plastic films KW - Polyethylene KW - Remote sensing KW - Testing KW - HSI longwave infrared KW - LWIR KW - gas KW - gaseous effluent KW - hyperspectral imagery KW - plastic plume DO - 10.1109/IGARSS.2008.4779787 JO - IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium IS - SN - 2153-6996 VO - 4 VL - 4 JA - IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Y1 - 7-11 July 2008 ER - TY - CONF TI - Integrating lidar into the Community Sensor Model construct T2 - 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) SP - 1 EP - 7 AU - C. Rodarmel AU - M. Lee AU - H. Theiss PY - 2011 KW - application program interfaces KW - geophysics computing KW - optical radar KW - sensor fusion KW - visual databases KW - 2D data KW - 3D data KW - Air Force Aeronautical Systems Center KW - CSM functionality KW - Community Sensor Model Working Group KW - LIDAR KW - LIDAR dataset KW - National Geospatial-Intelligence Agency KW - application program interface KW - data collection KW - data registration KW - geospatial data KW - light detection and ranging KW - sensor exploitation tool KW - sensor parameter KW - universal LIDAR error model KW - Communities KW - Computational modeling KW - Covariance matrix KW - Data models KW - Geospatial analysis KW - Laser radar KW - Mathematical model KW - LIDAR KW - error propagation KW - sensor modeling DO - 10.1109/AIPR.2011.6176340 JO - 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) IS - SN - 1550-5219 VO - VL - JA - 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Y1 - 11-13 Oct. 2011 ER - TY - JOUR TI - Making Successful Security Decisions: A Qualitative Evaluation T2 - IEEE Security & Privacy SP - 60 EP - 68 AU - J. Pettigrew AU - J. Ryan PY - 2012 KW - decision making KW - security of data KW - IT security managers KW - open-ended interviews KW - security decision making KW - security practitioners KW - Decision making KW - Educational institutions KW - Information security KW - Privacy KW - computer security KW - information security management KW - qualitative research KW - security decision-making DO - 10.1109/MSP.2011.128 JO - IEEE Security & Privacy IS - 1 SN - 1540-7993 VO - 10 VL - 10 JA - IEEE Security & Privacy Y1 - Jan.-Feb. 2012 ER - TY - CONF TI - Error estimation for gridded bathymetry T2 - 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) SP - 1 EP - 20 AU - P. Doucette AU - J. Dolloff AU - A. Braun AU - A. Gurson AU - C. H. Read AU - B. Shapo PY - 2015 KW - bathymetry KW - K-fold cross-validation KW - Monte Carlo methods KW - Norwegian archipelago KW - Svalbard KW - autocorrelated random error KW - error estimation KW - gridded bathymetry KW - historical bathymetric survey data KW - maritime navigation community KW - random error uncertainty KW - surface interpolation methods KW - Correlation KW - Error analysis KW - Interpolation KW - Lattices KW - Standards KW - Three-dimensional displays KW - Uncertainty KW - Monte Carlo KW - autocorrelation KW - cross-validation KW - error estimation KW - spline-in-tension DO - 10.1109/AIPR.2015.7444528 JO - 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) IS - SN - VO - VL - JA - 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Y1 - 13-15 Oct. 2015 ER - TY - CONF TI - Robust automated thresholding of SAR imagery for open-water detection T2 - 2015 IEEE Radar Conference (RadarCon) SP - 0310 EP - 0315 AU - P. J. Cutler AU - W. C. Schwartzkopf AU - F. W. Koehler PY - 2015 KW - feature extraction KW - geophysical image processing KW - image classification KW - image segmentation KW - remote sensing by radar KW - synthetic aperture radar KW - COSMO-SkyMed KW - HH polarization KW - RadarSat-2 KW - SAR imagery KW - TerraSAR-X KW - automated water detection KW - classification accuracy KW - collection parameters KW - data diverse library KW - ground truth approximation KW - limited collection parameters KW - open-water detection KW - open-water segmentation KW - robust automated thresholding KW - scene content KW - thresholding algorithms KW - water feature extraction KW - water fraction KW - Accuracy KW - Feature extraction KW - Histograms KW - Libraries KW - Sociology KW - Synthetic aperture radar DO - 10.1109/RADAR.2015.7131015 JO - 2015 IEEE Radar Conference (RadarCon) IS - SN - 1097-5659 VO - VL - JA - 2015 IEEE Radar Conference (RadarCon) Y1 - 10-15 May 2015 ER - TY - JOUR TI - Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery T2 - IEEE Transactions on Geoscience and Remote Sensing SP - 4263 EP - 4281 AU - A. Castrodad AU - Z. Xing AU - J. B. Greer AU - E. Bosch AU - L. Carin AU - G. Sapiro PY - 2011 KW - geophysical image processing KW - geophysical techniques KW - image classification KW - optimisation KW - acquisition mission KW - hyperspectral image classification KW - hyperspectral image mapping KW - learned block-structured discriminative dictionaries KW - linear mixture analysis KW - spatial-spectral coherence analysis KW - spectral pixel model KW - spectral variability analysis KW - subpixel model KW - transmission mission KW - Data models KW - Dictionaries KW - Encoding KW - Hyperspectral imaging KW - Image reconstruction KW - Materials KW - Hyperspectral imaging KW - scene classification KW - sparse modeling KW - spectral unmixing DO - 10.1109/TGRS.2011.2163822 JO - IEEE Transactions on Geoscience and Remote Sensing IS - 11 SN - 0196-2892 VO - 49 VL - 49 JA - IEEE Transactions on Geoscience and Remote Sensing Y1 - Nov. 2011 ER - TY - CONF TI - NGA GPS monitor station high-performance cesium frequency standard stability: from NGA Kalman filter clock estimates T2 - Proceedings of the 2005 IEEE International Frequency Control Symposium and Exposition, 2005. SP - 840 EP - 849 AU - D. M. Manning PY - 2005 KW - Global Positioning System KW - Kalman filters KW - atomic clocks KW - caesium KW - frequency stability KW - frequency standards KW - GPS accuracy improvement initiative KW - GPS monitoring stations KW - GPS satellites KW - NGA Kalman filter clock estimates KW - National Geospatial Intelligence Agency KW - OCS estimation process KW - broadcast ephemeris KW - cesium frequency standard KW - clock parameters KW - frequency stability KW - geodetic quality GPS receivers KW - monitor station network KW - navigation systems KW - operational control segment KW - Clocks KW - Condition monitoring KW - Distributed control KW - Force control KW - Frequency estimation KW - Global Positioning System KW - Maintenance KW - Quality control KW - Satellite broadcasting KW - Stability DO - 10.1109/FREQ.2005.1574043 JO - Proceedings of the 2005 IEEE International Frequency Control Symposium and Exposition, 2005. IS - SN - 2327-1914 VO - VL - JA - Proceedings of the 2005 IEEE International Frequency Control Symposium and Exposition, 2005. Y1 - 29-31 Aug. 2005 ER - TY - JOUR TI - An auroral scintillation observation using precise, collocated GPS receivers T2 - Radio Science SP - 1 EP - 11 AU - T. W. Garner AU - R. B. Harris AU - J. A. York AU - C. S. Herbster AU - C. F. M. III AU - D. L. Hampton PY - 2011 KW - Clocks KW - Global Positioning System KW - Monitoring KW - Receiving antennas KW - Satellite broadcasting KW - Satellites DO - 10.1029/2010RS004412 JO - Radio Science IS - 01 SN - 1944-799X VO - 46 VL - 46 JA - Radio Science Y1 - Feb. 2011 ER - TY - CONF TI - Adaptive automatic object recognition in single and multi-modal sensor data T2 - 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) SP - 1 EP - 8 AU - T. Khuon AU - R. Rand PY - 2014 KW - feature extraction KW - object detection KW - object recognition KW - sensor fusion KW - 3D point cloud KW - adaptive automatic object recognition KW - distributed adaptive pattern recognition KW - feature extraction KW - feature-based pattern recognition algorithm KW - multimodal sensor data KW - multisensor fusion KW - object classification KW - Classification algorithms KW - Clustering algorithms KW - Laser radar KW - Neural networks KW - Spatial resolution KW - Stochastic processes KW - Three-dimensional displays DO - 10.1109/AIPR.2014.7041915 JO - 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) IS - SN - 1550-5219 VO - VL - JA - 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Y1 - 14-16 Oct. 2014 ER - TY - JOUR TI - Predict insider threats using human behaviors T2 - IEEE Engineering Management Review SP - 39 EP - 48 AU - J. U. Mills AU - S. M. F. Stuban AU - J. Dever PY - 2017 KW - Hardware KW - Malware KW - Monitoring KW - Security KW - Systems engineering and theory KW - Uncertainty KW - Human behaviors KW - and systems engineering KW - insider threats KW - linear regression KW - prediction interval DO - 10.1109/EMR.2017.2667218 JO - IEEE Engineering Management Review IS - 1 SN - 0360-8581 VO - 45 VL - 45 JA - IEEE Engineering Management Review Y1 - First Quarter 2017 ER - TY - JOUR TI - Estimation of Aerosol Effective Radius by Multiwavelength Elastic Lidar T2 - IEEE Transactions on Geoscience and Remote Sensing SP - 645 EP - 660 AU - C. C. Marchant AU - M. D. Wojcik AU - W. J. Bradford PY - 2012 KW - Mie scattering KW - aerosols KW - optical radar KW - remote sensing by laser beam KW - (extended Kalman filter KW - Mie scattering theory KW - aerosol effective radius KW - lidar algorithm KW - multiwavelength elastic lidar KW - particle size distribution KW - point sensor instrument KW - scattering coefficient KW - state vector KW - Aerosols KW - Atmospheric measurements KW - Atmospheric modeling KW - Equations KW - Kalman filters KW - Laser radar KW - Mathematical model KW - Aerosols KW - Kalman filter KW - laser radar KW - scattering DO - 10.1109/TGRS.2011.2160725 JO - IEEE Transactions on Geoscience and Remote Sensing IS - 2 SN - 0196-2892 VO - 50 VL - 50 JA - IEEE Transactions on Geoscience and Remote Sensing Y1 - Feb. 2012 ER - TY - JOUR TI - Lagrangian Approaches to Storage of Spatio-Temporal Network Datasets T2 - IEEE Transactions on Knowledge and Data Engineering SP - 2222 EP - 2236 AU - K. Yang AU - M. R. Evans AU - V. M. V. Gunturi AU - J. M. Kang AU - S. Shekhar PY - 2014 KW - query processing KW - storage management KW - temporal databases KW - visual databases KW - LFS KW - LGetOneSuccessor() operation KW - Lagrangian approaches KW - Lagrangian family set KW - NP hard problem KW - SSTN problem KW - STN queries KW - air transportation management systems KW - data access patterns KW - disk I/O cost minimization KW - flight traffic datasets KW - large data volume KW - nonorthogonal partitioning approach KW - orthogonal partitioning approaches KW - real-world road traffic datasets KW - spatio-temporal network dataset storage KW - Data structures KW - Delays KW - Indexes KW - Roads KW - Sensor phenomena and characterization KW - Combinatorial algorithms KW - Combinatorics KW - Data KW - Data Storage Representations KW - Data Structures KW - Database Management KW - Discrete Mathematics KW - Graphs and networks KW - Information Storage KW - Information Storage and Retrieval KW - Information Technology and Systems KW - Languages KW - Mathematics of Computing KW - Query languages KW - Spatial databases KW - Spatial databases and GIS KW - Storage and access methods KW - Storage/repositories KW - Systems KW - Temporal databases KW - geographic information systems KW - graph partitioning KW - lagrangian reference frame KW - spatio-temporal network databases DO - 10.1109/TKDE.2013.92 JO - IEEE Transactions on Knowledge and Data Engineering IS - 9 SN - 1041-4347 VO - 26 VL - 26 JA - IEEE Transactions on Knowledge and Data Engineering Y1 - Sept. 2014 ER - TY - CONF TI - Overhead imagery research data set — an annotated data library & tools to aid in the development of computer vision algorithms T2 - 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) SP - 1 EP - 8 AU - F. Tanner AU - B. Colder AU - C. Pullen AU - D. Heagy AU - M. Eppolito AU - V. Carlan AU - C. Oertel AU - P. Sallee PY - 2009 KW - computer vision KW - object recognition KW - OIRDS project KW - annotated data library KW - computer vision KW - computer vision algorithms KW - image attribute KW - object recognition KW - overhead imagery research data set KW - target attribute KW - Computer vision KW - Conferences KW - Geologic measurements KW - Libraries KW - Object recognition KW - Pattern recognition KW - Pixel KW - Satellites KW - Testing KW - Vehicle detection DO - 10.1109/AIPR.2009.5466304 JO - 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) IS - SN - 1550-5219 VO - VL - JA - 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) Y1 - 14-16 Oct. 2009 ER - TY - CONF TI - Evaluation methods for curvilinear feature extraction T2 - 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) SP - 1 EP - 6 AU - P. Doucette AU - A. Martin AU - C. Kavanagh AU - T. McIntyre AU - S. Barton AU - J. Grodecki AU - S. Malitz AU - M. Tang AU - J. Nolting PY - 2009 KW - feature extraction KW - geographic information systems KW - performance evaluation KW - remote sensing KW - roads KW - computer-assisted delineation KW - curvilinear feature extraction KW - geographic feature delineation KW - quantitative performance evaluation methods KW - remotely sensed images KW - road centerlines KW - spatial consistency KW - user clock time KW - Application software KW - Cams KW - Clocks KW - Computer vision KW - Feature extraction KW - Geographic Information Systems KW - Pattern recognition KW - Rivers KW - Roads KW - Time measurement DO - 10.1109/AIPR.2009.5466322 JO - 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) IS - SN - 1550-5219 VO - VL - JA - 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) Y1 - 14-16 Oct. 2009 ER - TY - JOUR TI - A Variable-Resolution Probabilistic Three-Dimensional Model for Change Detection T2 - IEEE Transactions on Geoscience and Remote Sensing SP - 489 EP - 500 AU - D. Crispell AU - J. Mundy AU - G. Taubin PY - 2012 KW - image reconstruction KW - probability KW - 3D relief KW - 3D voxel array KW - aerial imagery KW - change detection model KW - high resolution image KW - image data KW - probabilistic scene model KW - probabilistic three dimensional model KW - satellite imagery KW - scene geometry KW - scene reconstruction algorithms KW - surface visibility relationship KW - Computational modeling KW - Data models KW - Image reconstruction KW - Octrees KW - Probabilistic logic KW - Solid modeling KW - Uncertainty KW - Computer vision KW - data structures KW - remote sensing DO - 10.1109/TGRS.2011.2158439 JO - IEEE Transactions on Geoscience and Remote Sensing IS - 2 SN - 0196-2892 VO - 50 VL - 50 JA - IEEE Transactions on Geoscience and Remote Sensing Y1 - Feb. 2012 ER - TY - JOUR TI - Sparse Demixing of Hyperspectral Images T2 - IEEE Transactions on Image Processing SP - 219 EP - 228 AU - J. B. Greer PY - 2012 KW - geophysical image processing KW - infrared spectrometers KW - iterative methods KW - least squares approximations KW - time-frequency analysis KW - vectors KW - LMM KW - SD KW - USGS spectral library KW - airborne visible-infrared imaging spectrometer KW - dictionary learning method KW - high-dimensional simplex KW - hyperspectral image KW - orthogonal matching pursuit KW - sparse demixing KW - Approximation methods KW - Hyperspectral imaging KW - Matching pursuit algorithms KW - Materials KW - Pixel KW - Signal processing algorithms KW - Sparse matrices KW - Dictionary learning KW - hyperspectral imaging KW - linear mixture model (LMM) KW - sparse reconstruction KW - Algorithms KW - Colorimetry KW - Image Enhancement KW - Image Interpretation, Computer-Assisted KW - Information Storage and Retrieval KW - Pattern Recognition, Automated KW - Reproducibility of Results KW - Sensitivity and Specificity KW - Spectrum Analysis DO - 10.1109/TIP.2011.2160189 JO - IEEE Transactions on Image Processing IS - 1 SN - 1057-7149 VO - 21 VL - 21 JA - IEEE Transactions on Image Processing Y1 - Jan. 2012 ER - TY - CONF TI - Application of gradient based image segmentation to SAR imagery T2 - 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) SP - 4316 EP - 4319 AU - S. Piramanayagam AU - P. J. Cutler AU - W. Schwartzkopf AU - F. W. Koehler AU - E. Saber PY - 2015 KW - geophysical image processing KW - image classification KW - image segmentation KW - remote sensing by radar KW - synthetic aperture radar KW - AIRSAR sensor KW - Cloude-Pottier decompositions KW - Pauli decomposition KW - RADARSAT-2 sensor KW - SAR amplitude data KW - SAR imagery KW - agricultural area KW - gradient based image segmentation KW - gradient based region KW - growing method KW - image classification KW - open-water area KW - supervised classification stage KW - synthetic aperture radar KW - terrain area KW - Classification algorithms KW - Image resolution KW - Image segmentation KW - Remote sensing KW - Speckle KW - Support vector machines KW - Synthetic aperture radar KW - Image classification KW - Image segmentation KW - Synthetic aperture radar DO - 10.1109/IGARSS.2015.7326781 JO - 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) IS - SN - 2153-6996 VO - VL - JA - 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Y1 - 26-31 July 2015 ER - TY - CONF TI - Camera motion estimation for 3-D structure reconstruction of moving objects T2 - 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) SP - 1788 EP - 1793 AU - D. Chwa AU - A. Dani AU - H. Kim AU - W. Dixon PY - 2012 KW - cameras KW - image reconstruction KW - least squares approximations KW - motion estimation KW - observers KW - 3D structure reconstruction KW - RISE method KW - RLS algorithm KW - SaM estimation KW - camera motion estimation KW - dynamic object KW - moving camera velocity KW - moving object reconstruction KW - nonlinear observer KW - recursive least-squares algorithm KW - robust integral signed error KW - stationary object KW - structure-and-motion estimation KW - Cameras KW - Dynamics KW - Heuristic algorithms KW - Observers KW - Simulation KW - Vectors KW - Camera motion estimation KW - RLS algorithm KW - moving camera KW - moving objects KW - nonlinear observer based on RISE method DO - 10.1109/ICSMC.2012.6377997 JO - 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) IS - SN - 1062-922X VO - VL - JA - 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Y1 - 14-17 Oct. 2012 ER - TY - CONF TI - Distributed adaptive spectral and spatial sensor fusion for super-resolution classification T2 - 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) SP - 1 EP - 8 AU - T. Khuon AU - R. Rand AU - J. Greer AU - E. Truslow PY - 2012 KW - expectation-maximisation algorithm KW - image classification KW - image resolution KW - image segmentation KW - neural nets KW - sensor fusion KW - 3D imagery data KW - Bregman-iteration deconvolution algorithm KW - Gulfport MS KW - LIDAR data KW - cascaded neural network KW - distributed adaptive spectral sensor fusion KW - enhanced classification KW - fusion neural net KW - geographical class KW - hyperspectral data KW - independent sensor neural net KW - light detection and ranging KW - mean-shift method KW - multisensor fusion neural net KW - sensor synergism KW - signature class KW - spatial neural net KW - spatial sensor fusion KW - spectral neural net KW - stochastic expectation maximization method KW - super-resolution classification KW - super-resolution technique KW - university campus KW - unsupervised spatial segmentation algorithm KW - unsupervised spectral segmentation algorithm DO - 10.1109/AIPR.2012.6528194 JO - 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) IS - SN - 1550-5219 VO - VL - JA - 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Y1 - 9-11 Oct. 2012 ER - TY - JOUR TI - A K-Main Routes Approach to Spatial Network Activity Summarization T2 - IEEE Transactions on Knowledge and Data Engineering SP - 1464 EP - 1478 AU - D. Oliver AU - S. Shekhar AU - J. M. Kang AU - R. Laubscher AU - V. Carlan AU - A. Bannur PY - 2014 KW - data mining KW - graph theory KW - KMR KW - SNAS KW - crime reports KW - data mining KW - data summarization KW - geometry KW - k-main routes approach KW - pedestrian fatality data KW - pedestrian fatality reports KW - shortest paths KW - spatial network activity summarization KW - subgraph KW - Electronic mail KW - Generators KW - Rivers KW - Roads KW - Water resources KW - Spatial network KW - activity summarization KW - hot routes KW - hot spots KW - partitioning KW - spatial network DO - 10.1109/TKDE.2013.135 JO - IEEE Transactions on Knowledge and Data Engineering IS - 6 SN - 1041-4347 VO - 26 VL - 26 JA - IEEE Transactions on Knowledge and Data Engineering Y1 - June 2014 ER - TY - CONF TI - Semi-automated 3-D Building Extraction from Stereo Imagery T2 - 35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06) SP - 34 EP - 34 AU - S. C. Lee AU - K. Price AU - R. Nevatia AU - T. Heinze AU - J. M. Irvine PY - 2006 KW - feature extraction KW - geophysical signal processing KW - stereo image processing KW - automated feature extraction KW - complex buildings KW - geospatial information production KW - geospatial intelligence agency KW - labor-intensive process KW - overhead imagery KW - semi-automated 3D building extraction KW - stereo imagery KW - Automatic testing KW - Costs KW - Data mining KW - Feature extraction KW - Image analysis KW - Layout KW - Pattern recognition KW - Production systems KW - Roads KW - System testing DO - 10.1109/AIPR.2006.36 JO - 35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06) IS - SN - 1550-5219 VO - VL - JA - 35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06) Y1 - 11-13 Oct. 2006 ER - TY - JOUR TI - Ring-Shaped Hotspot Detection T2 - IEEE Transactions on Knowledge and Data Engineering SP - 3367 EP - 3381 AU - E. Eftelioglu AU - S. Shekhar AU - J. M. Kang AU - C. C. Farah PY - 2016 KW - data mining KW - geographic information systems KW - pattern clustering KW - statistical analysis KW - DGPLMR KW - RHD KW - dual grid based pruning KW - ring-shaped hotspot detection KW - simply-connected shaped areas KW - statistically significant ring-shaped hotspots KW - Algorithm design and analysis KW - Computational modeling KW - Cost benefit analysis KW - Global Positioning System KW - Pattern recognition KW - Hotspot KW - annulus KW - ring shape KW - scan statistics KW - statistical significance DO - 10.1109/TKDE.2016.2607202 JO - IEEE Transactions on Knowledge and Data Engineering IS - 12 SN - 1041-4347 VO - 28 VL - 28 JA - IEEE Transactions on Knowledge and Data Engineering Y1 - Dec. 1 2016 ER - TY - CONF TI - NGA's Analysis of the Smith and Sandwell Bathymetry Model (topo_8.2) and Implications for Bathymetric Modeling T2 - Proceedings of OCEANS 2005 MTS/IEEE SP - 1 EP - 5 AU - R. G. Trimmer AU - G. S. Wallace AU - J. L. Toohey PY - 2005 KW - bathymetry KW - LIDAR data KW - Smith-Sandwell bathymetry model KW - altimetry KW - bathymetric charts KW - gravity anomalies KW - route planning KW - Altimetry KW - Collaboration KW - Delay KW - Gravity KW - Laser radar KW - Marine safety KW - Navigation KW - Oceanographic techniques KW - Oceans KW - Petroleum DO - 10.1109/OCEANS.2005.1640033 JO - Proceedings of OCEANS 2005 MTS/IEEE IS - SN - 0197-7385 VO - VL - JA - Proceedings of OCEANS 2005 MTS/IEEE Y1 - 17-23 Sept. 2005 ER -