Spatial resolution enhancement of ASTER thermal bands (Contributo in atti di convegno)

Type
Label
  • Spatial resolution enhancement of ASTER thermal bands (Contributo in atti di convegno) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/12.666545 (literal)
Alternative label
  • B. Aiazzi, L. Alparone, S. Baronti, L. Santurri, M. Selva (2005)
    Spatial resolution enhancement of ASTER thermal bands
    in SPIE Remote Sensing Europe 2005, Bruges, Belgium, 19-22 Settembre 2005
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • B. Aiazzi, L. Alparone, S. Baronti, L. Santurri, M. Selva (literal)
Pagina inizio
  • 59821G-1 (literal)
Pagina fine
  • 59821G-10 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dx.doi.org/10.1117/12.666545 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of SPIE Remote Sensing Europe 2005, Image and Signal Processing for remote Sensing XI (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 5982 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 5982 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Proc. SPIE Remote Sensing Europe 2005, Bruges, Belgium, 19-22 Sep. 2005, SPIE Vol. 5982, Image and Signal Processing for Remote Sensing XI, L. Bruzzone (Ed.), 59821G, Oct. 2005. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 10 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • B. Aiazzi, S. Baronti, L. Santurri, M. Selva: IFAC-CNR. L. Alparone: DET Università degli studi di Firenze. (literal)
Titolo
  • Spatial resolution enhancement of ASTER thermal bands (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9780819460028 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • L.Bruzzone (literal)
Abstract
  • Image fusion aims at the exploitation of the information conveyed by data acquired by different imaging sensors. A notable application is merging images acquired from space by panchromatic and multi- or hyper-spectral sensors that exhibit complementary spatial and spectral resolution. Multiresolution analysis has been recognized efficient for image fusion. The Generalized Laplacian Pyramid (GLP), in particular, has been proven as the most efficient scheme due to its capability of managing images whose scale ratios are fractional numbers (non-dyadic data) and to its simple and easy implementation. Data merge based on multiresolution analysis, however, requires the definition of a model establishing how the missing spatial details to be injected into the multi-spectral bands are extracted from the panchromatic image. The model can be global over the whole image or depend on the local space-spectral context. This paper reports results on the fusion of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Each of the five thermal infrared (TIR) images (90m) is merged with the most correlated visible-near infrared (VNIR) image (15m). Due to the 6:1 scale ratio, the GLP has been utilized. The injection of spatial details has been ruled by means of the Spectral Distortion Minimizing (SDM) model that minimizes the spectral distortion between the resampled and fused images. Notwithstanding the lack of a spectral overlap between the VNIR and the TIR bands, experimental results show that the fused images keep their spectral characteristics while the spatial resolution is enhanced. (literal)
Editore
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Autore CNR di
Prodotto
Editore di
Insieme di parole chiave di
data.CNR.it