Quality analysis of worldview-4 DSMS generated by least squares matching and semi-global matching


Sefercik U. G. , Alkan M. , Jacobsen K., Atalay C., Büyüksalih G.

Journal Of Applied Remote Sensing, vol.33, pp.1-20, 2021 (Journal Indexed in SCI Expanded)

  • Publication Type: Article / Article
  • Volume: 33
  • Publication Date: 2021
  • Journal Name: Journal Of Applied Remote Sensing
  • Journal Indexes: Science Citation Index Expanded, Scopus, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, INSPEC, Civil Engineering Abstracts
  • Page Numbers: pp.1-20

Abstract


For the estimation of a dense disparity map from a rectified space-borne stereo image pair and generation of the most qualified digital surface model (DSM), new image matching algorithms are being developed permanently. This study has two main goals as the DSM quality validation of Worldview-4 (WV-4), which offer the highest ground sampling distance (GSD) (30 cm) of civilian optical space-borne missions together with Worldview-3 (WV-3) and performance comparison of Semi-Global Matching (SGM) and Least Squares Matching (LSM), two of the most preferred image matching algorithm for space-borne data. In the Istanbul study area with a rough topographic structure, 1 m gridded DSMs were derived from geometrically corrected WV-4 stereo image pair. The qualities were estimated by well-rounded visual and statistical approaches based on standard deviation and normalized median absolute deviation. In model-to-model comparisons, a very high-resolution airborne laser scanning (ALS) DSM was utilized as the reference model. The results demonstrated that the WV-4 DSM derived by SGM has the standard deviation of ±0.51 m (1.7 GSD) in height in open areas, where the LSM DSM has ±1.46 m. Besides, the visual quality of SGM is much better than LSM through building description potential.