machine learning
3 articlesDeep Learning for Earth Observation: From CNNs to Semantic Segmentation
How deep learning transforms satellite image analysis — object detection, semantic segmentation, and change detection with neural networks. Covers U-Net, ResNet, and practical considerations for remote sensing.
2026-01-05 · 10 min read
Supervised vs Unsupervised Classification: Two Approaches to Mapping Land Cover
How supervised and unsupervised classification work in remote sensing, when to use each approach, and the practical trade-offs between training data requirements, accuracy, and scalability.
2025-12-07 · 7 min read
Machine Learning for Satellite Image Classification: From Random Forest to Deep Learning
A practical guide to applying machine learning for satellite image classification — training data, feature engineering, algorithm selection, and accuracy assessment. Covers Random Forest, gradient boosting, CNNs, and when each approach is appropriate.
2025-11-19 · 9 min read