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Pattern Recognition and Image Analysis

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01.10.2019 | APPLIED PROBLEMS

Application of Graphic and Image Technology in Strong Convective Weather Monitoring and Early-Warning System

verfasst von: Fei Jiao, Tianwen Huang

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 4/2019

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In order to improve the capability of monitoring and predicting strong convective weather of Zhaoqing area, monitoring and early-warning system of strong convective weather is developed. Graphic and image technology is applied in the development of the system. The region growing method is used in image segmentation. The map of all towns of Zhaoqing area is drawn by coordinate transformation and graphics technologies. The processed radar image and the map of Zhaoqing area have been overlapped. By using improved arc-length method, the system can judge which areas are affected by strong convective echo.

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N. Otsu, “A threshold selection method from gray-level histograms,” IEEE Trans. Syst. Man Cybern. 9 (1), 62–66 (1979).CrossRef

D. Schulz, W. Burgard, D. Fox, and A. B. Cremers, “Tracking multiple moving targets with a mobile robot using particle filters and statistical data association,” in Proc. IEEE Int. Conf. on Robotics and Automation (2001 ICRA) (Seoul, South Korea, 2001), Vol. 2, pp. 1665–1670. https://doi.org/10.1109/ROBOT.2001.932850

S. Mallat and S. Zhong, “Characterization of signals from multiscale edges,” IEEE Trans. Pattern Anal. Mach. Intell. 14 (7), 710–732 (1992).CrossRef

Q. Zhu, L. Jing, and R. Bi, “Exploration and improvement of Ostu threshold segmentation algorithm,” in Proc. 2010 8th World Congress on Intelligent Control and Automation (WCICA) (Jinan, China, 2010), IEEE, pp. 6183–6188. https://doi.org/10.1109/WCICA.2010.5554431

J. W. Wilson and W. E. Schreiber, “Initiation of convective storms at radar-observed boundary-layer convergence line,” Mon. Weather Rev. 114 (12), pp 2516–2536 (1986).CrossRef

K. A. Browning and G. Szejwach, “Developments in observational systems for weather forecasting,” Meteorol. Appl. 1 (1), 3–22 (1994).

T. Huang and F. Jiao, “Data transfer and extension for mining big meteorological data,” in Intelligent Computing Theories and Application, ICIC 2017, Ed. by D. S. Huang, V. Bevilacqua, P. Premaratne, and P. Gupta, Lecture Notes in Computer Science (Springer, Cham, 2017), Vol. 10361, pp. 57–66. https://doi.org/10.1007/978-3-319-63309-1_6 CrossRef

R. Cremonini, D. Tiranti, and S. Barbero, “The urban flooding early warning system of the Greater Turin (north-western Italy) based on weather-radar observations,” in Engineering Geology for Society and Territory – Volume 5, Ed. by G. Lollino, A. Manconi, F. Guzzetti, M. Culshaw, P. Bobrowsky, and F. Luino (Springer, Cham, 2015), pp. 837–842.

H. T. Reda, P. T. Daely, J. Kharel, and S. Y. Shin, “On the application of IoT: Meteorological information display system based on LoRa wireless communication,” IETE Tech. Rev. 35 (3), 256–265 (2018). https://doi.org/10.1080/02564602.2017.1279988 CrossRef

10.

S. D. Plyusnin, E. I. Potapov, I. A. Garaba, V. P. Popova, “Forecast of convective storms evolution based on the analysis of their radar echo and wind hodograph in the troposphere in the moving coordinate system,” Russ. Meteorol. Hydrol. 38 (7), 465–471 (2013).CrossRef

11.

H. Ayat, M. R. Kavianpour, S. Moazami, Y. Hong, and E. Ghaemi, “Calibration of weather radar using region probability matching method (RPMM),” Theor. Appl. Climatol. 134 (1–2), 165–176 (2018). https://doi.org/10.1007/s00704-017-2266-7 CrossRef

12.

G. Antoniol and M. Ceccarelli, “Microarray image gridding with stochastic search based approaches,” Image Vision Comput. 25 (2), 155–163 (2007).CrossRef

13.

F. Y. Shih and S. Cheng, “Automatic seeded region growing for color image segmentation,” Image Vision Comput. 23 (10), 877–886 (2005).CrossRef

14.

J. Tang, “A color image segmentation algorithm based on region growing,” in Proc. 2010 2nd Int. Conf. on Computer Engineering and Technology (ICCET 2010) (Chengdu, China, 2010), IEEE, Vol. 6, pp. V6-634 – V6-637. https://doi.org/10.1109/ICCET.2010.5486012

15.

M. Hedir and B. Haddad, “Automatic system for radar echoes filtering based on textural features and artificial intelligence,” Meteorol. Atmos. Phys. 129 (5), 555–572 (2016).CrossRef

16.

S. Q. Wan, W. P. He, L. Wang, W. Jian, and W. Zhang, “Evolutionary modeling-based approach for model errors correction,” Nonlin. Processes Geophys. 19 (4), 439–447 (2012).CrossRef

17.

Y. Zhang and X.-M. Jin, “An automatic construction and organization strategy for ensemble learning on data streams,” ACM SIGMOD Rec. 35 (3), 28–33 (2006).CrossRef

Titel: Application of Graphic and Image Technology in Strong Convective Weather Monitoring and Early-Warning System
verfasst von: Fei Jiao
Tianwen Huang
Publikationsdatum: 01.10.2019
Verlag: Pleiades Publishing
Erschienen in: Pattern Recognition and Image Analysis / Ausgabe 4/2019
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI: https://doi.org/10.1134/S1054661819040060

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