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galaxeye-eo-sar-change-detection
juggtimber/galaxeye-eo-sar-change-detection
galaxeye-eo-sar-change-detection is a image segmentation model from juggtimber. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Lightweight multimodal EO--SAR change detection framework based on EfficientNet-B0 UNet architecture.
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At a glance
- Task
- Image Segmentation
- License
- mit
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 12, 2026
- SHA
- f4ba9cdd
Base models
Model card
From the Hugging Face model README
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/
- Task
- Image Segmentation
- License
- mit
- Languages
- en
- Created
- May 12, 2026
- Updated
- May 12, 2026