DSM Generation and Accuracy Comparison Using Stereo Matching Based on Image Segmentation

영상 분할 기반의 스테레오 매칭 기법을 이용한 DSM 생성 및 정확도 비교

Kwon, Wonsuk

  • Received : 2019.04.24
  • Accepted : 2019.06.05
  • Published : 2019.06.30


The purpose of this study is to generate DSM using the stereo matching algorithm of worldview-1 stereo images and verify the accuracy of the generated DSM. To generate DSM, RPC block modeling was performed to correct RPC errors, and image matching was performed using SGM, which is a stereo matching algorithm after the epipolar image was generated. The COST for SGM was calculated by using CENSUS, and 4-paths and 8-paths were applied for COST aggregation in SGM. To verify the quality and accuracy of the generated DSM, it was compared with the LiDAR-derived DSM and the DSM generated by commercial SW. The results showed that the vertical accuracy of the generated DSM using 4-paths of COST aggregation was 1.647 m to 3.689 m (RMSE). In case of using 8-paths of COST aggregation was 1.550 m to 3.106 m (RMSE).


WorldView-1;SGM;RPC;sensor modeling;DSM;CENSUS