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Mountain Line Extraction Method Based on Gaussian Scale Space

A technology of Gaussian scale and extraction method, applied in image data processing, instrumentation, calculation, etc., can solve the problems of few methods of extracting mountain line of macro-topographic features, unable to support practical application, large deviation of mountain line, etc. Feasibility, the method is simple and easy to implement, the effect of removing redundancy

Active Publication Date: 2017-10-31
西安道达天际信息技术有限公司
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Problems solved by technology

[0004] To sum up, there are quite a lot of research results on the automatic extraction of micro-topographic feature lines, but there are few methods for extracting macro-topographic feature mountain lines. The only few methods extract mountain lines with large deviations and poor continuity. Support for practical applications

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  • Mountain Line Extraction Method Based on Gaussian Scale Space
  • Mountain Line Extraction Method Based on Gaussian Scale Space
  • Mountain Line Extraction Method Based on Gaussian Scale Space

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Embodiment Construction

[0060] refer to figure 1 , taking 1:250,000 DEM data of a certain mountain area (the data grid accuracy is 50 meters, the elevation range is 1322-1980 meters, and the terrain relief is 498 meters, which belongs to the category of small undulations in the mountainous terrain. Its 3D perspective and gray Degree shaded images are as follows Figure 2(a) , 2(b) Shown) as an example, the specific embodiment of the present invention is as follows:

[0061] Step 1, use Gaussian kernel function to perform multi-scale decomposition and expression on regular grid DEM data

[0062] Step S10, select the number of decomposition layers n=5, the scale parameter proportional coefficient between two adjacent layers of DEM data Select the scale parameters expressed in the first layer according to the relief of the area According to σ i =k i σ 0 Get the scale parameter σ of each layer of Gaussian decomposition 0 ~σ 4 for

[0063] Step S11, according to each scale parameter σ i (i=...

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Abstract

The invention discloses a method for extracting mountain line based on Gaussian scale space. The steps are as follows: 1. Using Gaussian kernel function to decompose and express regular grid digital elevation model data in multiple scales; 2. From the decomposed scale data Extract the ridgeline; 3. Merge the ridgelines of various scales to mark the feature points of the primary mountain; 4. Set the elevation threshold to further screen the feature points of the primary mountain; 5. Refine the connection processing to obtain the mountain line. The present invention decomposes the regular grid DEM data in multiple scales with filter groups of different parameters, extracts the ridge lines of each scale respectively, and then fuses the ridge lines to obtain the mountain line, which can effectively remove the redundancy of the ridge features. In addition, the main veins of the mountain can be preserved.

Description

technical field [0001] The invention belongs to the macro terrain feature extraction technology in the field of digital terrain analysis, and specifically relates to a method of decomposing DEM data with Gaussian scale space theory, extracting ridgelines at each scale, and then constructing the weights of ridgelines at each scale with Gaussian scale parameters. Fusion method for generating macroscopic mountain lines. Background technique [0002] Digital Terrain Analysis is a digital information processing technology for terrain attribute calculation and feature extraction on DEM data. As a major geomorphic framework, mountains are composed of several mountains with obvious trends, and often become the boundaries of biogeographical distribution and physical geographical regions. The mountain line is the main vein of mountainous terrain, distributed in high-altitude areas, coherent and prominent, and long in length, controlling the overall characteristics and situation of th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/155
CPCG06T7/155G06T2207/30181
Inventor 孔月萍雷红涛刘大维翟亚婷万晨谢心谦张璋路婷婷聂文
Owner 西安道达天际信息技术有限公司
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