Enhancing land cover classification in remote sensing imagery using an optimal deep learning model
Abdelwahed Motwake,
Aisha Hassan Abdalla Hashim,
Marwa Obayya
et al.
Abstract:<abstract>
<p>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 under different classes, such as agricultural fields, water bodies, urban areas, forests, etc. based on the patterns present in these images. The application of Deep Learning (DL)-based land cover… Show more
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