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Automatic orthorectification of high-resolution optical satellite images using vector roads
Marsetič, Aleš (Author), Oštir, Krištof (Author), Kosmatin Fras, Mojca (Author)

URLURL - Presentation file, Visit http://dx.doi.org/10.1109/TGRS.2015.2431434 This link opens in a new window

Abstract
This paper presents a completely automatic processing chain for orthorectification of optical pushbroom sensors. The procedure is robust and works without manual intervention from raw satellite image to orthoimage. It is modularly divided in four main steps: metadata extraction, automatic ground control point (GCP) extraction, geometric modeling, and orthorectification. The GCP extraction step uses georeferenced vector roads as a reference and produces a file with a list of points and their accuracy estimation. The physical geometric model is based on collinearity equations and works with sensor-corrected (level 1) optical satellite images. It models the sensor position and attitude with second-order piecewise polynomials depending on the acquisition time. The exterior orientation parameters are estimated in a least squares adjustment, employing random sample consensus and robust estimation algorithms for the removal of erroneous points and fine-tuning of the results. The images are finally orthorectified using a digital elevation model and positioned in a national coordinate system. The usability of the method is presented by testing three RapidEye images of regions with different terrain configurations. Several tests were carried out to verify the efficiency of the procedure and to make it more robust. Using the geometric model, subpixel accuracy on independent check points was achieved, and positional accuracy of orthoimages was around one pixel. The proposed procedure is general and can be easily adapted to various sensors.

Language:English
Keywords:samodejni popravki, satelitski posnetki, daljinsko zaznavanje, obdelava podatkov, splošni fizični geometrijski model, automatic rectification, satellite images, remote sensing, data processing, general physical geometric model
Work type:Not categorized (r6)
Tipology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2015
Number of pages:Str. 6035-6047
Numbering:Vol. 53, iss. 11
UDC:528.7
ISSN on article:0196-2892
DOI:10.1109/TGRS.2015.2431434 This link opens in a new window
COBISS.SI-ID:38502189 This link opens in a new window
Views:793
Downloads:403
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Record is a part of a journal

Title:IEEE transactions on geoscience and remote sensing
Shortened title:IEEE trans. geosci. remote sens.
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0196-2892
COBISS.SI-ID:8722437 This link opens in a new window

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