Multi-Model Satellite Image Classification & Threat Detection
Machine Learning Research
Deep learning pipeline comparing MLPs, CNNs, and Vision Transformers (ViT) with transfer learning β VGG16, ResNet50, EfficientNet, InceptionV3 β applied to satellite land-use classification and threat detection. Benchmarked across architectures for accuracy, convergence speed, and generalization on real-world geospatial data.