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

D. Espinoza Molina, K. Alonso, M. Datcu
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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.
more » ... 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.
doi:10.5194/isprsarchives-xl-1-w5-185-2015 fatcat:egonz6z53bdx3ldhasy64ea3ku