Fast overlap removal for location-related representation elements

In order to resolve the issues with overlapping elements in location-related applications, an element adjustment method is proposed. This adjustment method can be implemented using a non-iterative algorithm which can significantly improve the processing efficiency of overlap removal. The method firs...

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Vydané v:Neural computing & applications Ročník 34; číslo 5; s. 3483 - 3494
Hlavní autori: Chen, Hongqian, Li, Hui
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Springer London 01.03.2022
Springer Nature B.V
Predmet:
Algorithms
Artificial Intelligence
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
Iterative algorithms
Optimization
Probability and Statistics in Computer Science
Representations
Special Issue on Multi-modal Information Learning and Analytics on Big Data
Location-related data
Non-iterative algorithm
Overlap removal
Element adjustment
ISSN:0941-0643, 1433-3058
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Shrnutí:In order to resolve the issues with overlapping elements in location-related applications, an element adjustment method is proposed. This adjustment method can be implemented using a non-iterative algorithm which can significantly improve the processing efficiency of overlap removal. The method first sorts out all the elements according to the distance from the preset Starting Point. Repulsive offset adjustment is used for circular elements. It can be validated through theoretical derivation. Finally, the influencing factors of algorithm parameters are analyzed. Suggestions are given to further optimization of the algorithm. Experimental results show that it can effectively remove overlapping. The relative positional relationship among elements can be preserved to the greatest extent. User’s verifications and expert’s evaluation show that it can also achieve high recognition rate between the geographic region and its representation element.
Bibliografia:ObjectType-Article-1
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ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-021-05825-x