A Method for Automatic Classification and Configuration of Map Annotation Based on Visual Variables

A technology of map annotation and visual variables, applied to maps/plans/charts, educational tools, instruments, etc., can solve problems such as low efficiency and high experimental complexity, and achieve easy implementation, improve annotation automation level, and improve annotation quality effect

Inactive Publication Date: 2011-12-21
WUHAN UNIV
View PDF9 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The automatic configuration of map annotation is recognized as an NP-hard problem. Since the first attempt to automatically draw maps, a large number of methods have been applied to this problem, such as expert systems, integer programming methods, combinatorial optimization, heuristic algorithms, simulations, etc. Annealing algorithm, genetic algorithm, etc., the main disadvantages of such existing technical solutions are high experimental complexity and relatively low efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method for Automatic Classification and Configuration of Map Annotation Based on Visual Variables
  • A Method for Automatic Classification and Configuration of Map Annotation Based on Visual Variables
  • A Method for Automatic Classification and Configuration of Map Annotation Based on Visual Variables

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0048] The system architecture that the embodiment of the present invention runs, such as figure 1As shown, it includes three parts: database, drawing system and end user. This structure utilizes the existing computer database technology. In the embodiment, the database is an Oracle database. According to the needs of computer map drawing, the database includes four types: geographic database, cartographic database, map database and map expert knowledge base. The geographic database stores geographic data, that is, the original DLG (Digital Line Graphic) digital line drawing data and its metadata, which is the most basic data for computer map drawing; the cartographic database stores cartographic data, which is specially used for carto...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a visual-variable-based automatic classification and configuration method of map lettering, comprising the steps of: customizing a map lettering configuration rule base; inputting geographic data and carrying out mapping expression on the geographic data; calculating graphical symbol variable of single feature element; and matching the rules in the lettering configurationrule base, selecting a lettering configuration mode and finishing classification and configuration of the map lettering. In the visual-variable-based automatic classification and configuration method, the map lettering configuration is divided into seven basic configuration modes according to the substitutive characteristics and the configuration rule requirements of the feature elements needing to be lettered in the national basic scale topographic map, and simultaneously, the expansion and the combined use of the lettering configuration modes are supported; and the map lettering configuration model which is simple and is easy to realize is provided, so that automatic selection of the map lettering configuration modes in mapping of a computer map can be realized. In the visual-variable-based automatic classification and configuration method, the selection problem of lettering configuration modes of the example-level feature elements is solved, and the lettering automation level and the lettering quality in the national basic scale topographic map are improved.

Description

technical field [0001] The invention relates to the field of electronic map and digital map drawing, in particular to a method for automatically classifying and configuring map notes based on visual variables. Background technique [0002] Annotation is a very important part of maps (including paper maps and electronic maps), and its automatic configuration is one of the key issues in computer cartography and geographic information systems. On the one hand, with the development of the national economy, the requirements for basic surveying and mapping and topographic map updates are getting higher and higher, and the update speed is also getting faster; on the other hand, the development of information technology represented by computers and networks has prompted the world Countries have accelerated the informationization process of surveying and mapping technology, making the traditional map-making technology move towards computer-aided map-making and cartography automation;...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G09B29/00G09B29/10
Inventor 李霖张志军朱海红吕灏于忠海兰洪浩
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products