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Open AccessArticle

A Vector Line Simplification Algorithm Based on the Douglas–Peucker Algorithm, Monotonic Chains and Dichotomy

Faculty of Geomatics, East China University of Technology, 418# Guanglan Road, Nanchang 330013, China
Department of Geography, Center for Human Dynamics in the Mobile Age (HDMA), San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4493, USA
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129# Luoyu Road, Wuhan 430079, China
Authors to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(4), 251;
Received: 11 March 2020 / Revised: 31 March 2020 / Accepted: 16 April 2020 / Published: 17 April 2020
When using the traditional Douglas–Peucker (D–P) algorithm to simplify linear objects, it is easy to generate results containing self-intersecting errors, thus affecting the application of the D–P algorithm. To solve the problem of self-intersection, a new vector line simplification algorithm based on the D–P algorithm, monotonic chains and dichotomy, is proposed in this paper. First, the traditional D–P algorithm is used to simplify the original lines, and then the simplified lines are divided into several monotonic chains. Second, the dichotomy is used to search the intersection positions of monotonic chains effectively, and intersecting monotonic chains are processed, thus solving the self-intersection problems. Two groups of experimental data are selected based on large data sets. Results demonstrate that the proposed experimental method has advantages in algorithmic efficiency and accuracy when compared to the D–P algorithm and the Star-shaped algorithm. View Full-Text
Keywords: Line Simplification; Douglas-Peucker Algorithm; Monotonic Chain; Dichotomy Line Simplification; Douglas-Peucker Algorithm; Monotonic Chain; Dichotomy
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Liu, B.; Liu, X.; Li, D.; Shi, Y.; Fernandez, G.; Wang, Y. A Vector Line Simplification Algorithm Based on the Douglas–Peucker Algorithm, Monotonic Chains and Dichotomy. ISPRS Int. J. Geo-Inf. 2020, 9, 251.

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