29 citations · 34 across the 6 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CV2025★ 1 cited
Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2
Saad Lahrichi, Zion Sheng, Shufan Xia +2
Self-supervised learning (SSL) has demonstrated significant potential in pre-training robust models with limited labeled data, making it particularly valuable for remote sensing (R…
cs.CV2025
Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark
Saad Lahrichi, Jake Bova, Jesse Johnson +1
Recent research has demonstrated the potential of deep neural networks (DNNs) to accurately predict wildfire spread on a given day based upon high-dimensional explanatory data from…