Meteorological facsimile map contour interpolation method based on T-spline

Abstract

The invention discloses a meteorological facsimile map isoline interpolation method based on T-spline. Firstly, the meteorological facsimile map is pretreated to obtain an image only containing the isoline. Then point-by-point screening method is used to sample the processed contours and extract the data points. T grid is established according to the data points; Finally, the T-spline local node interpolation algorithm is used to interpolate the image, and the interpolated points are fitted into curves to form the interpolated contours. The invention improves the operation speed and the ability of local interpolation, and reduces the accumulation of errors and data redundancy.

Description

technical field [0001] The invention belongs to the field of computer graphics, in particular to a T-spline-based contour interpolation method for weather facsimile maps. Background technique [0002] Meteorological Facsimile Chart (Meteorological Facsimile Chart) is a simple and intuitive weather chart received by a meteorological fax machine. It fills in the meteorological data of each observation point in a certain area at the same time on a special base map. , thus reflecting the weather conditions and changing trends in the region. As an important tool for maritime navigation, meteorological facsimile maps can be used to observe and monitor the occurrence, evolution and movement of sea conditions and weather systems in the navigation sea area, which is helpful for ships to stay away from bad weather, choose reasonable routes, arrange effective operations, and ensure navigation safety. Significance. [0003] At this stage, the digitization level of the weather facsimil...

AI Technical Summary

Problems solved by technology

[0003] At this stage, the digitization level of the meteorological fax map is not high, and the weather conditions in all places in the map cannot be displayed, so interpolation is required to predict unknown data based on existing data

Commonly used spatial interpolation methods include: Delaunay triangulation method, minimum curvature method, natural neighbor interpolation method, etc. However, the application range of these interpolation algorithms is small, and good interpolation effects can only be achieved under a relatively uniform point distribution, and the calculation The process is complex and requires high hardware

Norman proposed an algorithm for arranging different contour segments into continuous lines, which is suitable for interpolation of 2D and 3D objects, but requires a large number of line segment sets

Gill proposes a method for interpolating a piecewise linear surface between two parallel slices, which can be applied to medical imaging, GIS, but produces unwanted long peaks near sharp corners of the input polygon, robust Poor sex

Chai uses the gradient to control part of the differential equation to realize the interpolation of the contour line and the reconstruction of the rational surface at the same time, but the calculation of this algorithm is relatively complicated.

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