Digital Surface Model Extraction and Re nement through Image Segmentation – Application to the ISPRS Benchmark Stereo Dataset

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Abstract:

This paper proposes a methodology for the geometric re nement of a digital surface model (DSM) using high or very high resolution satellite scenes through an advanced hierarchical image segmentation and shows the results obtained on a dataset of Catalonia, Spain, provided by ISPRS WG I/4 through the project “Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data”. During this experiment a WorldView-1 quasi-nadir scene was used for the enhancement of the DSM generated by a Cartosat-1 stereopair. The original and nal DSMs are compared to the lidar DSM on the same area for quality analysis.

German
Erstellung von Oberflächenmodellen und deren Verbesserung durch hierarchische Bildsegmentierung am Beispiel der ISPRS Benchmark-Stereodaten. Dieser Artikel stellt eine Methode zur geometrischen Verbesserung eines digitalen Oberflächenmodells (DSM) durch hierarchische Bildsegmentierung von hoch bzw. sehr hoch auflösenden Satellitenbildern vor. Die Methode wurde an einem Datensatz aus Katalonien in Spanien getestet, der im Rahmen des ISPRS WG I/4 Projektes ,,Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data“ zur Verfügung gestellt wurde. In diesem Experiment wurde ein aus einem Cartosat-1-Stereopaar erstelltes DSM durch eine WorldView-1 Quasi-Nadir-Szene verbessert. Zur Bewertung der Methode wurde ein Lidar DSM als Referenz verwendet. Der Artikel beschreibt die Methode sowie die Ergebnisse des Tests und der Qualitätsanalyse.

Keywords: DATA FUSION; DIGITAL SURFACE MODELS; HIGH RESOLUTION; SEGMENTATION

Language: German

Document Type: Research Article

DOI: http://dx.doi.org/10.1127/1432-8364/2012/0120

Publication date: August 1, 2012

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  • 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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