About this document
Land Cover Lul C by aditya.sec2 is a document available to read on EtoBox.
This research presents a deep learning framework for land use and land cover classification using Sentinel-2 multispectral imagery, achieving 93.4% accuracy through a Wide Residual Network architecture enhanced by transfer learning. The methodology addresses challenges such as spectral variability and limited labeled training samples, demonstrating practical applications in environmental monitoring and urban planning. The study also highlights the efficiency of the proposed system, with inference latency un
- Author
- aditya.sec2
- Language
- EN