Automatic grading detection method for primary mountain range and water system-directional derivative wavelet transformation method

Abstract

The invention discloses an automatic grading detection method for primary mountain ranges and water systems-directional derivative wavelet transformation method, belongs to the field of geochemical exploration and aims at logically highlighting grading extraction of primary ridge (valley) lines and secondary ridge (valley) lines. The directional derivative wavelet transformation method firstly, on the basis of wavelet transformation, performing automatic grading extraction of data reflecting primary mountain range (valley) lines and the secondary mountain range (valley) lines from the common DEM (digital elevation model) data; secondly acquiring values of a first-order directional derivative and a second-order directional derivative from a frequency field, then extracting the primary ridge (valley) lines and the secondary ridge (valley) lines respectively. According to the test with the real DEM data, the ridge lines and the valley lines automatically extracted in a grading manner are basically consistent with topographic reliefs reflected on elevation line graphs such as topography, thus validity of the method is proven. Compared with the prior art, the directional derivative wavelet transformation method has the advantages of anti-interference and high accuracy, and the defects that the prior art fails to automatically extract the ridge lines and the valley lines in a grading manner are overcome.

Description

[0001] 1. Technical field: the present invention relates to a kind of method of graded automatic detection subject mountain range and water system, according to the national standard of the People's Republic of China "discipline classification and code", the present invention belongs to "exploration geochemistry (code: 1703050)" in earth science ". 2. Background technology [0002] The mountain line is the ridge line, and the water system is the valley line. They can be divided into macro (subject) and micro. In military and civilian applications, ridgelines and valleylines in topographic maps are very important application characteristic parameters. For example, in geochemical prospecting, the catchment basin formed by ridgelines and valleylines is the most basic prospecting map pieces. In the automatic target identification system of cruise missiles and in combat simulation and command automation, terrain feature data is an important regional basis for automatic identificat...

AI Technical Summary

Problems solved by technology

The common deficiency of these methods is that they do not organically combine the regional features of the ridge (valley) lines with the local features, and reflect these features in the algorithm as much as possible, and do not classify the ridge lines and valley lines (divided into the main mountain ranges). and secondary mountain ranges or lower level) extraction, regardless of primary and secondary, especially without eliminating noise interference in topographic maps, which affects the practicability of the method and the stability of the extraction results

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