Optimizing the Achievable Information Content Extraction from WorldView‑4 Stereo Imagery

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

Photogrammetrie Fernerkundung Geoinformation, vol.88, no.6, pp.449-461, 2020 (Journal Indexed in SCI Expanded)

  • Publication Type: Article / Article
  • Volume: 88 Issue: 6
  • Publication Date: 2020
  • Doi Number: 10.1007/s41064-020-00127-8
  • Title of Journal : Photogrammetrie Fernerkundung Geoinformation
  • Page Numbers: pp.449-461


In 2016, DigitalGlobe’s third-generation commercial Earth observation satellite WorldView-4 (WV-4), which offered 31 cm
spatial resolution for panchromatic imagery, was launched and was active up to January 2019. Together with WorldView-3,
this is the highest ground resolution of civilian optical space-borne missions. In this study, the information content of WV-4′s
pan-sharpened stereo imagery is comprehensively investigated by manual and automatic object extraction approaches in a
study area with rolling urban topography. The potential of automatic extraction was maximised by a group of refinement
methods supported by the normalised digital surface model (NDSM) generated from WV-4 stereo pair. The NDSM was used
as an additional band in the segmentation for revealing the object height heterogeneity. The results demonstrated that our
method increased the precision, completeness and overall quality of WV-4 automatic extraction up to 8.4% for the number
of buildings and up to 3.4% for the road length.