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Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery

Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery

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ZINGMAN, Igor, Dietmar SAUPE, Karsten LAMBERS, 2012. Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery. IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich, Germany, 22. Jul 2012 - 27. Jul 2012. In: 2012 IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich, Germany, 22. Jul 2012 - 27. Jul 2012. IEEE, pp. 3451-3454. ISBN 978-1-4673-1160-1

@inproceedings{Zingman2012-07Morph-20883, title={Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery}, year={2012}, doi={10.1109/IGARSS.2012.6350678}, isbn={978-1-4673-1160-1}, publisher={IEEE}, booktitle={2012 IEEE International Geoscience and Remote Sensing Symposium}, pages={3451--3454}, author={Zingman, Igor and Saupe, Dietmar and Lambers, Karsten} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/20883"> <dc:contributor>Saupe, Dietmar</dc:contributor> <dc:creator>Saupe, Dietmar</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-20T07:55:20Z</dcterms:available> <dc:creator>Lambers, Karsten</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-20T07:55:20Z</dc:date> <dcterms:title>Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery</dcterms:title> <dc:rights>deposit-license</dc:rights> <dcterms:abstract xml:lang="eng">We develop a transformation based on morphological filters that measures the contrast of image texture. This transformation is proportional to texture contrast, but insensitive to its specific type. Though the transformation provides a high response in textured areas, it suppresses individual high contrast features that stand apart from textured areas. It can serve as an effective texture descriptor for unsupervised or supervised segmentation of textured regions, provides high accuracy of localization and does not involve heavy computations. The method is robust to variations of illumination and works on different types of images without needing to be tuned. The only parameter is a scale related parameter. We illustrate the use of the proposed method on satellite and aerial images.</dcterms:abstract> <dc:language>eng</dc:language> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/20883"/> <dc:contributor>Lambers, Karsten</dc:contributor> <dc:contributor>Zingman, Igor</dc:contributor> <dcterms:issued>2012-07</dcterms:issued> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dcterms:bibliographicCitation>Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ; July 22-27, 2012, Munich, Germany ; [sponsored by the Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society]. - Piscataway : IEEE, 2012. - S. 3451-3454. - ISBN 978-1-4673-1160-1</dcterms:bibliographicCitation> <dc:creator>Zingman, Igor</dc:creator> </rdf:Description> </rdf:RDF>

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