http://www.cnr.it/ontology/cnr/individuo/prodotto/ID292429
Characterization of snow cover areas by change detection applied to COSMO-SkyMed images (Contributo in atti di convegno)
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- Characterization of snow cover areas by change detection applied to COSMO-SkyMed images (Contributo in atti di convegno) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Alternative label
Pettinato S.; Santi E.; Paloscia S.; Aiazzi B.; Garzelli A. (2013)
Characterization of snow cover areas by change detection applied to COSMO-SkyMed images
in PIERS 2013, Progress In Electromagnetics Research Symposium, Stockholm, Sweden, 12-15 Aug. 2013
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- Pettinato S.; Santi E.; Paloscia S.; Aiazzi B.; Garzelli A. (literal)
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- Proceedings of PIERS 2013, Progress In Electromagnetics Research Symposium (literal)
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- Institute of Applied Physics, National Research Council, Firenze, Italy; Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy (literal)
- Titolo
- Characterization of snow cover areas by change detection applied to COSMO-SkyMed images (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-9341-4226-4 (literal)
- Abstract
- An experimental study on the characterization of snow cover areas from multitemporal COSMO-SkyMed (CSK) images is presented. Himage and PingPong data in Stripmap acquisition mode from the CSK constellation are processed by applying two alternative approaches: a classical threshold method and an effective change-detection method. The proposed information-theoretic approach to change detection provides very promising results on multitemporal 1-look SAR images at very high spatial resolution. (literal)
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