IEEE

A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture

Abstract: AI-driven precision agriculture applications can benefit from the large data source that remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales ...
Scientific Research Publishing

de Sousa, C., Fatoyinbo, L., Neigh, C., Boucka, F., Angoue, V. and Larsen, T. (2020) Cloud-computing and Machine Learning in Support of Country-Level Land Cover and Ecosystem ...

ABSTRACT: Accurate land cover classification is essential for environmental monitoring, urban planning, and resource management. Conventional classifiers trained on raw spectral bands are often ...
IEEE

Learning Visual Patterns in Remote Sensing: An Overview of Agricultural Applications

Abstract: Deep Learning based on Remote Sensing has become a powerful tool to increase agricultural productivity, mitigate the effects of climate change, and monitor deforestation. However, there is a ...