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

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

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 s...

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Main Authors: D. Espinoza Molina, K. Alonso, M. Datcu
Format: Article
Language:English
Published: Copernicus Publications 2015-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/185/2015/isprsarchives-XL-1-W5-185-2015.pdf
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spelling doaj-a0f56e8ad44b41948a3a2bb9f81e67792020-11-25T01:01:52ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-12-01XL-1-W518518810.5194/isprsarchives-XL-1-W5-185-2015SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICSD. Espinoza Molina0K. Alonso1M. Datcu2German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Institute, Oberpfaffenhofen, 82234 Weßling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Institute, Oberpfaffenhofen, 82234 Weßling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Institute, Oberpfaffenhofen, 82234 Weßling, GermanyThis 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/185/2015/isprsarchives-XL-1-W5-185-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Espinoza Molina
K. Alonso
M. Datcu
spellingShingle D. Espinoza Molina
K. Alonso
M. Datcu
SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet D. Espinoza Molina
K. Alonso
M. Datcu
author_sort D. Espinoza Molina
title SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS
title_short SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS
title_full SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS
title_fullStr SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS
title_full_unstemmed SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS
title_sort semantic indexing of terrasar-x and in situ data for urban analytics
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2015-12-01
description 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.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/185/2015/isprsarchives-XL-1-W5-185-2015.pdf
work_keys_str_mv AT despinozamolina semanticindexingofterrasarxandinsitudataforurbananalytics
AT kalonso semanticindexingofterrasarxandinsitudataforurbananalytics
AT mdatcu semanticindexingofterrasarxandinsitudataforurbananalytics
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