Details
| Original language | English |
|---|---|
| Pages (from-to) | 449-461 |
| Number of pages | 13 |
| Journal | PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science |
| Volume | 88 |
| Issue number | 6 |
| Early online date | 29 Sept 2020 |
| Publication status | Published - Dec 2020 |
Abstract
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.
Keywords
- Automatic object extraction, Information content, Manual object extraction, Normalised digital surface model, WorldView-4
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Physics and Astronomy(all)
- Instrumentation
- Earth and Planetary Sciences(all)
- Earth and Planetary Sciences (miscellaneous)
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In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Vol. 88, No. 6, 12.2020, p. 449-461.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Optimizing the Achievable Information Content Extraction from WorldView-4 Stereo Imagery
AU - Sefercik, Umut G.
AU - Alkan, Mehmet
AU - Atalay, Can
AU - Jacobsen, Karsten
AU - Büyüksalih, Gürcan
AU - Karakış, Serkan
N1 - Funding information: We would like to thank Y?ld?z Technical University for supporting the acquisition of WV-4 stereo imagery in the scope of Scientific Research Project with ID: 3075. Finally, many thanks to Zonguldak Bulent Ecevit University for supporting the used software.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Automatic object extraction
KW - Information content
KW - Manual object extraction
KW - Normalised digital surface model
KW - WorldView-4
UR - http://www.scopus.com/inward/record.url?scp=85091731591&partnerID=8YFLogxK
U2 - 10.1007/s41064-020-00127-8
DO - 10.1007/s41064-020-00127-8
M3 - Article
AN - SCOPUS:85091731591
VL - 88
SP - 449
EP - 461
JO - PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
JF - PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
SN - 2512-2789
IS - 6
ER -