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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Detalles Bibliográficos
Autores principales: Naghibi, Fereydoun, Delavar, Mahmoud Reza, Pijanowski, Bryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191102/
https://www.ncbi.nlm.nih.gov/pubmed/27983633
http://dx.doi.org/10.3390/s16122122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191102/
https://www.ncbi.nlm.nih.gov/pubmed/27983633
http://dx.doi.org/10.3390/s16122122

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