Extraction of urban built-up areas from nighttime lights using artificial neural network
Author:
Affiliation:
1. School of Environment, The University of Auckland, Auckland, New Zealand
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2018.1559887
Reference64 articles.
1. The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review
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4. Analysis of clustering and selection algorithms for the study of multivariate wave climate
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3. Automatic built-up area extraction by feature-level fusion of Luojia 1–01 nighttime light and Sentinel satellite imageries in Google Earth Engine;Advances in Space Research;2023-08
4. Extraction of Urban Built-Up Areas Using Nighttime Light (NTL) and Multi-Source Data: A Case Study in Dalian City, China;Land;2023-02-16
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