ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprsarchives-XL-1-W5-185-2015 SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS Espinoza Molina D. 1 Alonso K. 1 Datcu M. 1 German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Institute, Oberpfaffenhofen, 82234 Weßling, Germany 11 12 2015 XL-1/W5 185 188 Copyright: © 2015 D. Espinoza Molina et al. 2015 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-archives.copernicus.org/articles/XL-1-W5/185/2015/isprs-archives-XL-1-W5-185-2015.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-1-W5/185/2015/isprs-archives-XL-1-W5-185-2015.pdf

This paper presents the semantic indexing of TerraSAR-X images and in situ data. Image processing together with machine learning methods, relevance feedback techniques, and human expertise are used to annotate the image content into a land use land cover catalogue. All the generated information is stored into a geo-database supporting the link between different types of information and the computation of queries and analytics. We used 11 TerraSAR-X scenes over Germany and LUCAS as in situ data. The semantic index is composed of about 73 land use land cover categories found in TerraSAR-X test dataset and 84 categories found in LUCAS dataset.