3 papers
cs.CV2024
A region-wide, multi-year set of crop field boundary labels for Africa
L. D. Estes, A. Wussah, M. Asipunu +27
African agriculture is undergoing rapid transformation. Annual maps of crop fields are key to understanding the nature of this transformation, but such maps are currently lacking a…
cs.CV2024
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples
Sam Khallaghi, Rahebe Abedi, Hanan Abou Ali +12
The accuracy of mapping agricultural fields across large areas is steadily improving with high-resolution satellite imagery and deep learning (DL) models, even in regions where fie…
cs.CV2023
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery
Sam Khallaghi, J. Ronald Eastman, Lyndon D. Estes
Semantic segmentation (classification) of Earth Observation imagery is a crucial task in remote sensing. This paper presents a comprehensive review of technical factors to consider…