Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm

Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm

Cellular Automata (CA) is one of the most common techniques used to simulate the urbanization process. CA-based urban models use transition rules to deliver spatial patterns of urban growth and urban dynamics over time. Determining the optimum transition rules of the CA is a critical step because of...

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Bibliographic Details
Main Authors: Fereydoun Naghibi, Mahmoud Reza Delavar, Bryan Pijanowski
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Sensors
Subjects:
urban growth model
cellular automata
model calibration
swarm intelligence
artificial bee colony algorithm
remote sensing image
Online Access:http://www.mdpi.com/1424-8220/16/12/2122

Internet

http://www.mdpi.com/1424-8220/16/12/2122

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