Performance study of several global thresholding techniques for segmentation
Computer Vision, Graphics, and Image Processing
Fuzzy subfiber and its application to seismic lithology classification
Information Sciences—Applications: An International Journal
Wavelets: theory and applications
Wavelets: theory and applications
Fuzzy Sets and Systems
TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting graph-based spatial outliers: algorithms and applications (a summary of results)
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Digital Image Processing
Spatio-temporal evolution: querying patterns of change in databases
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
A comparison of different decision algorithms used in volumetric storm cells classification
Fundamenta Informaticae
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of meteorological volumetric radar data using rough set methods
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Tripod: A Comprehensive Model for Spatial and Aspatial Historical Objects
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
A survey on wavelet applications in data mining
ACM SIGKDD Explorations Newsletter
Clustering Data Streams: Theory and Practice
IEEE Transactions on Knowledge and Data Engineering
Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
A framework for diagnosing changes in evolving data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Algorithms for Spatial Outlier Detection
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Distributed deviation detection in sensor networks
ACM SIGMOD Record
Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets
Proceedings of the 2004 ACM symposium on Applied computing
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
The fuzzy geometry of image subsets
Pattern Recognition Letters
A recursive thresholding technique for image segmentation
IEEE Transactions on Image Processing
A parallel multi-scale region outlier mining algorithm for meteorological data
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Modeling and querying fuzzy spatiotemporal databases
Information Sciences: an International Journal
Mining the change of event trends for decision support in environmental scanning
Expert Systems with Applications: An International Journal
Spatial neighborhood based anomaly detection in sensor datasets
Data Mining and Knowledge Discovery
Fourier transform based spatial outlier mining
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
An adaptable threshold detector
Information Sciences: an International Journal
eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System
Information Sciences: an International Journal
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets
Data Mining and Knowledge Discovery
| Hi-index | 0.07 |
Detecting spatial outliers can help identify significant anomalies in spatial data sequences. In the field of meteorological data processing, spatial outliers are frequently associated with natural disasters such as tornadoes and hurricanes. Previous studies on spatial outliers mainly focused on identifying single location points over a static data frame. In this paper, we propose and implement a systematic methodology to detect and track regional outliers in a sequence of meteorological data frames. First, a wavelet transformation such as the Mexican Hat or Morlet is used to filter noise and enhance the data variation. Second, an image segmentation method, @l-connected segmentation, is employed to identify the outlier regions. Finally, a regression technique is applied to track the center movement of the outlying regions for consecutive frames. In addition, we conducted experimental evaluations using real-world meteorological data and events such as Hurricane Isabel to demonstrate the effectiveness of our proposed approach.