Use of a simple pattern recognition approach for the detection of ridge lines and stripes

Jann, Alexander

doi:10.1017/s1350482702003092

Cited by 6 publications

(1 citation statement)

References 10 publications

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“…In addition, Li et al [6] extracted a trough line using an image-processing technique to distinguish geometric characteristics in the pressure field. Jann [7] used gridded geopotential or pressure data to trace curvature and vorticity, thereby identifying trough lines using pattern recognition methods. Similarly, automated methods of front recognition have been heavily researched [8].…”

Section: Introductionmentioning

confidence: 99%

Objective Identification of Trough Lines Using Gridded Wind Field Data

Huang

Yin

et al. 2017

Atmosphere

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An objective method was developed to analyze longwave and shortwave trough lines in wind field data using different methods, given that these trough lines were researched in different ways. Longwave trough lines were analyzed by locating the cyclonic center and filtering candidate trough points simultaneously; the candidate longwave trough points were then traced based on distance and angle conditions. Next, candidate shortwave trough points were determined based on angular deflection and vorticity data, which were clustered and fitted to a curve for extraction. This method was applied to wind field data from the National Center for Environmental Prediction (NCEP) to analyze trough lines in East Asia and South Asia. The experimental results show that our method can effectively identify trough lines by comparing them with manual analysis results. The statistical results indicate that the method more precisely identifies longwave trough lines than shortwave trough lines, and that trough lines during the fall and winter are more accurately and effectively identified than those during the spring and summer.

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Section: Introductionmentioning

confidence: 99%