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The Isprs Benchmark on Urban Object Classification and 3D Building Reconstruction : Volume I-3, Issue 1 (20/07/2012)

By Rottensteiner, F.

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Book Id: WPLBN0004013607
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: The Isprs Benchmark on Urban Object Classification and 3D Building Reconstruction : Volume I-3, Issue 1 (20/07/2012)  
Author: Rottensteiner, F.
Volume: Vol. I-3, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Gerke, M., Jung, J., Benitez, S., Sohn, G., Breitkopf, U., Baillard, C., & Rottensteiner, F. (2012). The Isprs Benchmark on Urban Object Classification and 3D Building Reconstruction : Volume I-3, Issue 1 (20/07/2012). Retrieved from http://www.ebooklibrary.org/


Description
Description: Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany. For more than two decades, many efforts have been made to develop methods for extracting urban objects from data acquired by airborne sensors. In order to make the results of such algorithms more comparable, benchmarking data sets are of paramount importance. Such a data set, consisting of airborne image and laserscanner data, has been made available to the scientific community. Researchers were encouraged to submit results of urban object detection and 3D building reconstruction, which were evaluated based on reference data. This paper presents the outcomes of the evaluation for building detection, tree detection, and 3D building reconstruction. The results achieved by different methods are compared and analysed to identify promising strategies for automatic urban object extraction from current airborne sensor data, but also common problems of state-of-the-art methods.

Summary
THE ISPRS BENCHMARK ON URBAN OBJECT CLASSIFICATION AND 3D BUILDING RECONSTRUCTION

 

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