Pansharpening algorithms aim to enhance low resolution multi-spectral images by means of high resolution panchromatic ones. Several approaches are based on the MultiResolution Analysis (MRA) achieved through the pyramidal decomposition of images. We focus here on the implementation based on Morphological Filters (MF) that are optimized through Genetic Algorithms (GA). The effectiveness of this algorithm is compared with other techniques, among which those based on Wavelet operators, through several quality indices on two different real scenarios.

A pansharpening algorithm based on genetic optimization of Morphological Filters

ADDESSO, PAOLO;CONTE, ROBERTO;LONGO, Maurizio;RESTAINO, Rocco;VIVONE, GEMINE
2012

Abstract

Pansharpening algorithms aim to enhance low resolution multi-spectral images by means of high resolution panchromatic ones. Several approaches are based on the MultiResolution Analysis (MRA) achieved through the pyramidal decomposition of images. We focus here on the implementation based on Morphological Filters (MF) that are optimized through Genetic Algorithms (GA). The effectiveness of this algorithm is compared with other techniques, among which those based on Wavelet operators, through several quality indices on two different real scenarios.
9781467311588
9781467311601
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/3880812
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact