Reza-Zhu/SUES-200-Benchmark
SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite
This project provides a benchmark and tools for academic researchers working on cross-view image matching. It takes in pairs of images, one from a drone (UAV) and one from a satellite, captured from various heights and scenes. The output helps researchers evaluate how well different algorithms can identify if these images show the same location, which is crucial for tasks like drone navigation or mapping. It's intended for computer vision researchers in academia.
No commits in the last 6 months.
Use this if you are an academic researcher developing or evaluating algorithms for matching drone imagery with satellite imagery.
Not ideal if you need a practical, ready-to-use solution for real-world drone-to-satellite image matching outside of academic research.
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72
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4
Language
Python
License
MIT
Category
Last pushed
Nov 06, 2024
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