Stereo Matching of High-resolution Remote Sensing Images

This repository contains the (testing) codes and trained models for the paper "Dual-Scale Matching Network for Disparity Estimation of High-Resolution Remote Sensing Images" by Sheng He, Ruqin Zhou, Shenhong Li, San Jiang*, and Wanshou Jiang*, including:

1. The proposed DSMNet and its variants;
2. Re-implementation of DenseMapNet;
3. Re-implementation of StereoNet;
4. Re-implementation of PSMNet.

Environment

1. Ubuntu 20.04
2. Python 3.7
3. CUDA 11.2 and cuDNN 8.1.1
4. TensorFlow (2.5.0rc3)

All models were trained using an RTX 3090 GPU.

Data

The dataset used in our experiment is the track-2 dataset of US3D in 2019 Data Fusion Contest (can be downloaded at https://ieee-dataport.org/open-access/data-fusion-contest-2019-dfc2019).