SAR image segmentation through information-theoretic heterogeneity feature and tree-structured Markow Random Fields (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• SAR image segmentation through information-theoretic heterogeneity feature and tree-structured Markow Random Fields (Contributo in atti di convegno) (literal)

Anno

• 2005-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/IGARSS.2005.1525650 (literal)

Alternative label

• B. Aiazzi, L. Alparone, S. Baronti, G. Cuozzo, C. D'’Elia, G. Schirinzi (2005)
  SAR image segmentation through information-theoretic heterogeneity feature and tree-structured Markow Random Fields
  in IEEE IGARSS 2005, Seoul - Korea, 25-29 Luglio 2005
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• B. Aiazzi, L. Alparone, S. Baronti, G. Cuozzo, C. D'’Elia, G. Schirinzi (literal)

Pagina inizio

• 2803 (literal)

Pagina fine

• 2806 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• Proc. IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea, 25–29 Jul. 2005, vol. 4, pp. 2803-2806. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1525650 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Proceedings of IEEE IGARSS 2005: 25th Anniversary (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 4 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 4 (literal)

Note

• ISI Web of Science (WOS) (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• IFAC-CNR G. Cuozzo, C. D'’Elia, G. Schirinzi: Università di Cassino (literal)

Titolo

• SAR image segmentation through information-theoretic heterogeneity feature and tree-structured Markow Random Fields (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 0-7803-9050-4 (literal)

Abstract

• Segmentation algorithms are often used in many image processing applications like compression, restoration, content extraction, and classification. In particular as for the content extraction, works carried out in the past decade have demonstrated that multi-frequency fully polarimetric SAR observations content are particularly interesting, thanks to physical properties of the backscattered signal at various frequencies and polarizations. To achieve a good classification, the main difficulty is that SAR images are often embedded in heavy speckle. Segmentation of multi/hyperspectral (optical) imagery is obtained by means of algorithms based on image models, which exploit the spatial dependencies of landcovers. Unfortunately, speckle noise hides such spatial dependencies in observed SAR data. With the aim of investigating on a content extraction algorithm capable of discriminating cover classes present in the observed SAR image, homogeneity/heterogeneity features are used here to emphasize spatial dependencies in the data. Thus, observed pixel values are mapped into features, that take \"similar\" values on \"similar\" textures. This allows for using the same procedure of the optical case. Obviously, homogeneity/heterogeneity feature and segmentation quality are fundamental for classification accuracy. Here, the problem is tackled through the joint use of information-theoretic SAR features [1] and of a segmentation algorithm based on Markov Random Fields (MRFs) (literal)

Editore

• The Institute of Electrical and Electronics Engineers (IEEE) (Editore)

Prodotto di

• Sistemi, metodi di elaborazione ed applicazioni di telerilevamento aerospaziale (ICT.P10.005.001) (Modulo)
• Institute of applied physics \"Nello Carrara\" (IFAC) (Istituto)

Autore CNR

• LUCIANO ALPARONE (Unità di personale esterno)
• BRUNO AIAZZI (Unità di personale interno)
• STEFANO BARONTI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "SAR image segmentation through information-theoretic heterogeneity feature and tree-structured Markow Random Fields" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• BRUNO AIAZZI (Unità di personale interno)
• STEFANO BARONTI (Unità di personale interno)
• LUCIANO ALPARONE (Unità di personale esterno)

Prodotto

• Institute of applied physics \"Nello Carrara\" (IFAC) (Istituto)
• Sistemi, metodi di elaborazione ed applicazioni di telerilevamento aerospaziale (ICT.P10.005.001) (Modulo)

Editore di

• The Institute of Electrical and Electronics Engineers (IEEE) (Editore)

Insieme di parole chiave di

• Parole chiave di "SAR image segmentation through information-theoretic heterogeneity feature and tree-structured Markow Random Fields" (Insieme di parole chiave)