Evolutionary system for recognition and tracking of synoptic-scale storm systems

Pattern Recognition Letters

Volumn 20, Issue 11-13, 1999, Pages 1389-1396

  Parikh, J A ^a   DaPonte, J S ^a   Vitale, J N ^a   Tselioudis, G ^b  

^a SOUTHERN CONNECTICUT STATE UNIVERSITY   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DATA STRUCTURES; IMAGE ANALYSIS; OPTICAL FLOWS; STORMS; WEATHER FORECASTING;

NEAREST NEIGHBOR ANALYSIS; SELF-ORGANIZING MAPS; SYNOPTIC-SCALE STORM SYSTEMS;

PATTERN RECOGNITION SYSTEMS;

CLOUD; PATTERN RECOGNITION; SATELLITE IMAGERY; STORM TRACK; SYNOPTIC METEOROLOGY;

EID: 0033237161     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00110-5     Document Type: Article

References (18)

1. Anandan, P., 1989. A computational framework and an algorithm for the measurement of visual motion. Internat. J. Computer Vision 2, 283-301.
2. Arnaud, Y., Desbois, Y., Maizi, J., 1992. Automatic tracking and characterization of African convective systems on Meteosat pictures. J. Appl. Meteor. 31, 443-453.
3. Barron, R., Fleet, D.J., Beachemin, S.S., 1994. Performance of optical flow techniques. Internat. J. Comput. Vision 12 (1), 43-77.
4. Bolla, R., Marchese, M., Nobile, C., Zappatore, Z., 1997. Prediction of short-term evolution of cloud formations based on meteostat image sequences. In: Proc. ICIAP'95, pp. 677-682.
5. Carbonaro, A., Zingaretti, P., 1997. Object tracking in a varying environment. In: Proceedings of the Sixth International Conference on Image Processing and its Applications, pp. 229-223.
6. Endlich, R.M., Wolf, D.E., 1981. Automatic cloud tracking applied to goes and metostat observations. J. Appl. Meteor. 20 (3), 309-319.
7. Kohonen, T., Hynninen, J., Kangas, J., Laaksonen, J., 1995. SOM-PAK: The self-organizing map program package (Version 3.1).
8. Lane, D.M., Chantler, M.J., Dai, D., 1998. Robust tracking of multiple objects in sector-scan sonar image sequences using optial flow motion estimation. J. Oceanic Engrg. 23 (1).
9. Levine, D., 1996. Users Guide to the PGAPack Parallel Genetic Algorithm Library.
10. Parikh, J.A., DaPonte, J.S., Vitale, J.N., Tselioudis, G., 1997. Comparison of genetic algorithm systems with neural network and statistical techniques for analysis of cloud structures in midlatitude storm systems. Pattern Recognition Letters 18 (11-13), 1347-1351.
11. Parikh, J.A., DaPonte, J.S., Vitale, J.N., Tselioudis, G., 1998. Application of evoltionary technieques to temporal classification of cloud systems using satellite imagery. In: SPIE 3390, 69-76.
12. Parikh, J.A., DaPonte, J.S., Vitale, J.N., 1999. Unsupervised classification techniques for determination of storm region correspondences. In: Proc. SPIE 3722, 276-283.
13. Rossow, W.B., Schiffer, R.A., 1991. Isccp clooud data products. Bull. Am. Meteor. Soc. 72 (1), 2-20.
14. Silver, D., Wang, X., 1997. Tracking and visualising turbulent 3D features. IEEE Trans. Visualization and Computer Graphics 3 (2), 129-141.
15. Tselioudis, G., Zhang, Y., Rossow, W.B., 1999. Cloud and radiation variations associated with northern midlatitude low and high sea level pressure regimes. J. Climate (in press).
16. Voicu, L.I., Myler, H.R., 1998. Cloning operator and its applications. In: Proc. SPIE 3390, 57-68.
17. Wu, Q.X., 1995. A correlation-relaxation-labeling framework for computing optical flow - template matching from a new perspective. IEEE Trans. Pattern Anal. and Mach. Intell. 17 (8), 843-853.
18. Xiao, J., Michalewicz, Z., Zhang, L., 1997. Adaptive evolutionary planner/navigator for mobile robots. IEEE Trans. Evolution. Comput. 1 (1), 18-28.