Galaxeye Eo Sar Change Detection

--- license: mit language: - en base_model: - google/efficientnet-b0 pipeline_tag: image-segmentation tags: - remote_sensing, - change_detection - eo - segmentation - efficientnet --- # GalaxEye EO--SAR Change Detection Lightweight multimodal EO--SAR change detection framework based on EfficientNet-B0 UNet architecture. ## Overview This model performs binary pixel-level change detection using paired Electro-Optical (EO) and Synthetic Aperture Radar (SAR) imagery. The framework combines: - EO RGB channels - CLAHE-enhanced SAR - Log-transformed SAR into a 5-channel multimodal segmentation input. ## Architecture - EfficientNet-B0 encoder - UNet-style decoder - BCE + Dice + Focal hybrid loss ## Results | Split | IoU | F1 | |---|---|---| | Validation | 0.2712 | 0.4267 | | Test | 0.0887 | 0.1629 | ## Limitations Performance degrades under cross-scene EO--SAR domain shift and heterogeneous SAR backscatter conditions. ## Repository GitHub repository: https://github.com/timbersaw-jugg/galaxeye-eo-sar-change-detection/

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