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

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Atıf İçin Kopyala

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

Photogrammetrie Fernerkundung Geoinformation, cilt.88, sa.6, ss.449-461, 2020 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 88 Sayı: 6
• Basım Tarihi: 2020
• Doi Numarası: 10.1007/s41064-020-00127-8
• Dergi Adı: Photogrammetrie Fernerkundung Geoinformation
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
• Sayfa Sayıları: ss.449-461
• Yıldız Teknik Üniversitesi Adresli: Evet

Özet

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.