"# MSFT_3DCD"

Change Detection for Remote Sensing Image

This work is based on MSFT, which is in https://github.com/Jasmine-wrl/MSFT.git

and activate 3D change detection ,which is based on 3DCD in https://github.com/VMarsocci/3DCD.git.

Installation

Clone this repo:

git clone https://github.com/Jasmine-wrl/MSFT_3DCD.git

• Download Python 3
• Install the packages:

pip install -r requirements.txt

Train

To train the model, prepare a .yaml file and put in the config directory (where you can find an example) and then run the following command:

python train2.py --config="your_config_file"

Test

To test your model, follow the same steps for training and then run the following command:

python test2.py --config="your_config_file"

Dataset Preparation

Data structure

"""
3DCD dataset
├─train
   ├─t1
   ├─t2
   ├─2dcd
   └─3dcd
├─val
   ├─t1
   ├─t2
   ├─2dcd
   └─3dcd
└─test
   ├─t1
   ├─t2
   ├─2dcd
   └─3dcd
"""

Data Download

The original 3DCD dataset are as follows:

https://drive.google.com/drive/folders/1XRmUeIevRfZT982verCI4kq_8CRR4ueq?usp=sharing

In this work,I cropped the original images into 200*200 and splited the train/val/test into 1600:164:120. The cropped dataset(200 *200) are as follows:

3DCDMY_200: https://pan.baidu.com/s/1ACvG8CL5x91pHdlQjcZETA (code：ns62)

License

Code is released for non-commercial and research purposes only. For commercial purposes, please contact the authors.