Application of Convolutional Neural Networks With Object-Based Image Analysis for Land Cover and Land Use Mapping in Coastal Areas: A Case Study in Ain Témouchent, Algeria

Application of Convolutional Neural Networks With Object-Based Image Analysis for Land Cover and Land Use Mapping in Coastal Areas: A Case Study in Ain Témouchent, Algeria

Land use and land cover (LULC) information is a fundamental component of environmental research relating to urban planning, agricultural sustainability, and natural hazards assessment. In particular, remote sensing technology has demonstrated a powerful capacity for LULC modeling with a correspondin...

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Bibliographic Details
Main Authors: Narimane Zaabar, Simona Niculescu, Mihoubi Mustapha Kamel
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Coastal areas
convolutional neural networks (CNN)
land use and land cover (LULC) mapping
machine learning
object-based image analysis (OBIA)
remote sensing
Online Access:https://ieeexplore.ieee.org/document/9803238/

Internet

https://ieeexplore.ieee.org/document/9803238/

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