NDLI: Worldview-1 Stereo Extraction Accuracy with and without Min Processing

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Worldview-1 Stereo Extraction Accuracy with and without Min Processing

Content Provider	Semantic Scholar
Author	Dolloff, John Settergren, Reuben
Copyright Year	2010
Abstract	WorldView-1 is a high precision, commercial, satellite imaging sensor. This paper presents a recent assessment of its 3D extraction accuracy based on 50 overlapping and contiguous stereo pairs of WorldView-1 imagery covering approximately 50,000 square kilometers of the earth's surface. Absolute horizontal and vertical accuracy are assessed for both ground point extractions based on single stereo pairs of imagery, and for ground point extractions based on the fusion or combination of information across all stereo pairs of imagery. Absolute accuracy is both predicted using error propagation and measured using ground truth (check) points. The fusion of information across all stereo pairs was implemented using Metric Information Network (MIN) technology. MIN processing is equivalent to extraction following a single simultaneous image block adjustment of all 50 stereo pairs (100 images), but is more flexible, timely, and efficient. MIN processing can sequentially process either individual stereo pairs or individual cells (groups) of stereo pairs. Performance results are presented for both methods and compared to a single simultaneous image block adjustment. Results are also extended to the use of a sparse set of ground control points (GPS surveyed points) in addition to the WorldView-1 imagery.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.asprs.org/a/publications/proceedings/sandiego2010/sandiego10/Dolloff.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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