http://www.cnr.it/ontology/cnr/individuo/prodotto/ID95170
Polarimetric SAR observables for land cover classification: analyses and comparisons (Contributo in atti di convegno)
- Type
- Label
- Polarimetric SAR observables for land cover classification: analyses and comparisons (Contributo in atti di convegno) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1117/12.691088 (literal)
- Alternative label
V. Alberga, G. Satalino, D. K. Staykova (2006)
Polarimetric SAR observables for land cover classification: analyses and comparisons
in SPIE SAR Image Analysis, Modeling, and Techniques XI, Stockholm, Sweden, Thursday 14 September 2006
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- V. Alberga, G. Satalino, D. K. Staykova (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://spiedigitallibrary.org/proceedings/resource/2/psisdg/6363/1/636305_1?isAuthorized=no (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Proceedings of SPIE - The International Society for Optical Engineering (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Volume 6363, 2006 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Volume 6363, 2006 (literal)
- Rivista
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- a. Signal and Image Centre (SIC), Royal Military Academy (RMA), Av. de la Renaissance 30, 1000 Brussels, Belgium
b. Institute of Intelligent Systems for Automation (ISSIA), National Research Council (CNR), Via G. Amendola 122/D-I, 70126 Bari, Italy
c. Tzar Kaloyan 44A, 6000 Stara Zagora, Bulgaria (literal)
- Titolo
- Polarimetric SAR observables for land cover classification: analyses and comparisons (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Abstract
- In this contribution, we present a study on a series of representations of polarimetric synthetic aperture radar
(SAR) data, testing and comparing them with respect to their utility for land cover classification. Different
classification algorithms are also compared.
Part of this work is dedicated to the study of the dependence of the classification results on the varying
size of averaging windows of pixels. Such an analysis will permit to prove if the polarimetric parameters under
consideration describe only point-like physical properties of the targets or if they also contain \"extended\", local
information. The final goal is to provide an objective estimate of the usefulness of these parameters. (literal)
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