Summary:
- This article presents a comprehensive study on the application of deep learning techniques, specifically Convolutional Neural Networks (CNNs), for the classification of land use and land cover (LULC) using remote sensing imagery.
- The research evaluates the performance of various architectural models in processing satellite data, contributing to the field of geoinformatics and environmental monitoring through automated geospatial analysis.