The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-1/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 185–188, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-185-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 185–188, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-185-2015

  11 Dec 2015

11 Dec 2015

SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS

D. Espinoza Molina, K. Alonso, and M. Datcu D. Espinoza Molina et al.
  • German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Institute, Oberpfaffenhofen, 82234 Weßling, Germany

Keywords: Earth-Observation images, data mining, semantic definition, land use land cover, analytics

Abstract. 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.