WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images. (arXiv:2206.02342v1 [cs.CV])

Stereo matching of high-resolution satellite images (HRSI) is still a
fundamental but challenging task in the field of photogrammetry and remote
sensing. Recently, deep learning (DL) methods, especially convolutional neural
networks (CNNs), have demonstrated tremendous potential for stereo matching on
public benchmark datasets. However, datasets for stereo matching of satellite
images are scarce. To facilitate further research, this paper creates and
publishes a challenging dataset, termed WHU-Stereo, for stereo matching DL
network training and testing. This dataset is created by …

arxiv benchmark cv images satellite satellite images