Awesome
Deep Metric Learning for Unsupervised CD
Official PyTorch implementation of "Deep Metric Learning for Unsupervised Change Detection in Remote Sensing Images" (Metric-CD)
paper: https://arxiv.org/abs/2303.09536
Introduction
<p float="left"> <img src="/imgs/img1.png" width="200" /> <img src="/imgs/img2.png" width="200" /> <img src="/imgs/cm.png" width="200" /> <img src="/imgs/lasvegas.gif" width="200" /> </p> Figure 1. Demonstration of how our proposed algorithm finds changes in the multi-temporal remote sensing image (for beirut image pair in OSCD dataset).Demo on OSCD dataset
Conda environment.
Create a virtual conda environment using the provided environment.yml (you may use: conda env create -f environment.yml).
Run Demo.
Once the environment is setup, open Demo_OSCD from jupyter notebook and simply run the file.