Enhancing land cover classification in remote sensing imagery using an optimal deep learning model

• Main Authors: Motwake, Abdelwahed, Hassan Abdalla Hashim, Aisha, Obayya, Marwa, Eltahir, Majdy M.
• Format: Article
• Language: English; English
• Published: AIMS Press 2023
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/108413/7/108413_Enhancing%20land%20cover%20classification%20in%20remote%20sensing.pdf; http://irep.iium.edu.my/108413/14/108413_Enhancing%20land%20cover%20classification%20in%20remote%20sensing_Scopus.pdf; http://irep.iium.edu.my/108413/; https://www.aimspress.com/article/doi/10.3934/math.2024009; https://doi.org/10.3934/math.2024009
• Institution: Universiti Islam Antarabangsa Malaysia

The land cover classification process, accomplished through Remote Sensing Imagery (RSI), exploits advanced Machine Learning (ML) approaches to classify different types of land cover within the geographical area, captured by the RS method. The model distinguishes various types of land cover un...