DSIFN Dataset

DSIFN 数据集

Introduction

The dataset is available for scientific research. If you find the dataset helps in your research, please consider citing:

Zhang, C., Yue, P., Tapete, D., Jiang, L., Shangguan, B., Huang, L., & Liu, G. (2020). A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 166, 183-200.

The dataset is manually collected from Google Earth. It consists of six large bi-temporal high resolution images covering six cities (i.e., Beijing, Chengdu, Shenzhen, Chongqing, Wuhan, Xian) in China. The five large image-pairs (i.e., Beijing, Chengdu, Shenzhen, Chongqing, Wuhan) are clipped into 394 subimage pairs with sizes of 512×512. After data augmentation, a collection of 3940 bi-temporal image pairs is acquired. Xian image pair is clipped into 48 image pairs for model testing. There are 3600 image pairs in the training dataset, 340 image paris in the validation dataset, and 48 image pairs in the test dataset.

The below link provides the trainig, validation, and test datasets, as well as the model weight file, the predicted results on the test dataset.

Dataset link

-Link链接: https://pan.baidu.com/s/1EsVDb4FqJKLm23gHGvA77Q

-Password提取码: ru08

Or:

-Google drive link: https://drive.google.com/drive/folders/1yutLU4WI7eeeGbuxilsq2OtGQr9EHDLy?usp=sharing

Raw images