Combination of image and lidar data for building extraction

In this work, we focus on the extraction of man-made structures, especially buildings, by combining information from aerial images and Lidar data. We applied four different methods on a dataset located at Zurich Airport, Switzerland. The first method is based on DSM/DTM comparison in combination with NDVI analysis; the second one is a supervised multispectral classification refined with height information from Lidar data. The third approach uses voids in Lidar DTM and NDVI classification, while the last method is based on the analysis of the density of the raw Lidar DSM data. The accuracy of the building extraction process was evaluated by comparing the results with reference data and computing the percentage of data correctly extracted and the percentage of missing reference data. The improvement of the result has been performed by taking into account the advantages and disadvantages of each method. The edge information from images has also been used for the quality improvement. The results are reported and commented.

POLI Daniela;  DEMIR Nusret;  BALTSAVIAS Emmanuel; 

2009-11-10

Gruen/Kahmen

JRC55260

https://publications.jrc.ec.europa.eu/repository/handle/JRC55260,