Matching and Evaluating Free-form Linear Features for Georeferencing Space-borne SAR Imagery Matching und Evaluation von Freiform-Linien als Passinformation zur Georeferenzierung von satellitengestützten SAR-Bildern

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Abstract:

In this paper, 3D free-form linear features are used as ground control information for the computation of the transformation from 3D object space to the 2D SAR image space. This is now feasible thanks to the high resolution imaging capabilities of contemporary satellite SAR sensors which allow the identification of detailed structures. The computation of the transformation parameters is based on a newly introduced general iterative closest point (ICP) based method for single free-form linear feature pair matching, extended to simultaneously match multiple pairs of them. The proposed method is tested with the georeferencing of a whole TerraSAR-X image. Linear features are shown to be a reliable form of ground control information.

German
In diesem Beitrag werden 3D Freiform-Linien als Passinformation für die Berechnung der Parameter zur Transformation vom 3D-Objektraum in den 2D SAR-Bildraum verwendet. Dies ist dank hoch auflösender moderner SAR Satellitenradarsensoren möglich geworden, die eine Identifizierung detaillierter Strukturen erlauben. Die Berechnung der Transformationsparameter basiert auf einer neu eingeführten Methode, welche eine Verallgemeinerung des Iterative Closest Point-Algorithmus (ICP) zur Zuordnung von einzelnen Paaren von Freiform-Linien darstellt und eine gleichzeitige Identifikation und Zuordnung mehrerer solcher Paare erlaubt. Die vorgeschlagene Methode wird an Hand der Georeferenzierung eines TerraSAR-X-Bildes getestet. Die Linien erwiesen sich dabei als eine zuverlässige Form der Passinformation.

Keywords: GEOREFERENCING; LINEAR FEATURES; MULTITEMPORAL; OPTICAL IMAGES; TERRASAR-X

Document Type: Research Article

DOI: http://dx.doi.org/10.1127/1432-8364/2012/0127

Publication date: August 1, 2012

More about this publication?
  • Photogrammetrie - Fernerkundung - Geoinformation (PFG) is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the intricately connected field of geoinformation processing.

    Papers published in PFG highlight new developments and applications of these technologies in practice. The journal hence addresses both researchers and student of these disciplines at academic institutions and universities and the downstream users in both the private sector and public administration.

    PFG places special editorial emphasis on the communication of new methodologies in data acquisition, new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general.

    PFG is the official journal of the German Society of Photogrammetry and Remote Sensing.
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