Zero-Shot Land Cover Classification of SAR-like Imagery using Vision-Language Models
Abstract
This capsule contains the reproducibility code for the IEEE GRSL submission "Zero-Shot Land Cover Classification of SAR-like Imagery using Vision-Language Models". It implements a comprehensive zero-shot classification framework using CLIP on the EuroSAT dataset. The code includes pipelines for: (1) converting optical imagery to SAR-like intensity, (2) evaluating 10+ prompt engineering strategies strategies (comparing spatial vs. domain-specific prompts), and (3) performing hierarchical classification (Coarse vs. Fine).
Fields of Study & Subjects
Remote-Sensing Image Classification
Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications
Publication details
- Journal / source
- Code Ocean
- Publication date
- 1 January 2026
- Language
- EN