Typhoon Center Detection via Optical Flow Vector Analysis
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Solution Overview
Problem
Current methods for selecting the typhoon center from radar images are subjective and time-consuming, relying on human interpretation of high temporal and spatial resolution data.
Innovation Solution
An automatic method using optical flow techniques to calculate valid vector fields from radar image data, interpolating dense vector fields, extracting anomaly vectors, and selecting the typhoon center based on Gaussian kernel density estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human analyzers manually interpret radar images to select typhoon center, then subjective judgment can be applied, but the process is time-consuming and produces inconsistent results
Solution Approach 1:
The patent replaces the mechanical system of manual visual interpretation with an automated optical flow technique that calculates motion vectors from radar image sequences. This substitution eliminates human subjectivity and time consumption while maintaining measurement precision through mathematical vector field analysis.
Solution Approach 2:
The system enables self-service by allowing the radar data to automatically determine the typhoon center through vector field analysis without requiring human intervention. The optical flow algorithm processes the radar sequences autonomously, extracting motion patterns that identify the typhoon center location.
2Measurement precision
If high temporal and spatial resolution radar data is used, then detection capability is improved, but data processing complexity increases
Solution Approach 1:
The patent extracts only the essential motion information from the high-resolution radar data by calculating optical flow vectors. This extraction process isolates the relevant velocity field characteristics while discarding redundant data, thereby maintaining detection precision while reducing processing complexity.
Solution Approach 2:
The system transforms the radar reflectivity data into velocity field parameters through optical flow calculation. This parameter change converts static intensity information into dynamic motion vectors, simplifying the analysis while preserving the high temporal and spatial resolution benefits for detecting meteorological phenomena.
Data Source
AI summary
A method for automatic selection of typhoon center using vectors calculated from radar image data by an optical flow technique includes calculating a valid vector field from the radar image data using the optical flow technique, generating a dense vector field by interpolating an empty spot of the valid vector field using linear interpolation, extracting a rotating component anomaly vector field including typhoon rotating component anomaly vectors by removing a relative vector in the interpolated valid vector field, generating a normal vector intersection point of the vectors of the extracted rotating component anomaly vector field, and finally selecting the typhoon center by calculating a maximum density normal vector intersection point based on a Gaussian kernel density estimation technique. Accordingly, it is possible to detect the moving path of the typhoon rapidly and objectively.