Region-based image fusion approach of panchromatic and multi-spectral images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099399" target="_blank" >RIV/61989100:27240/15:86099399 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-21206-7_46" target="_blank" >http://dx.doi.org/10.1007/978-3-319-21206-7_46</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-21206-7_46" target="_blank" >10.1007/978-3-319-21206-7_46</a>
Alternative languages
Result language
angličtina
Original language name
Region-based image fusion approach of panchromatic and multi-spectral images
Original language description
In this paper, a region-based image fusion approach were proposed based on the stationary wavelet transform (SWT) in conjunction with marker-controlled watershed segmentation technique. The SWT is redundant, linear and shift invariant and these properties allow SWT to be realized exploiting a recursive algorithm and gives a better approximation than the DWT. The performance of the fusion approach is illustrated via experimental results obtained with a broad series of images and the experimental results used the MODIS multi-spectral bands and Spot panchromatic band to validate the proposed image fusion technique. Moreover, the visual presentation and different evaluation criteria including the standard deviation, the entropy information, the correlation coefficient, the root mean square error, the peak signal to noise ratio and the structural similarity index was used to evaluate the obtained results. The proposed approach achieves superior results compared with the existing work. (C) Springer International Publishing Switzerland 2015.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in intelligent systems and computing. Volume 370
ISBN
978-3-319-21205-0
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
535-545
Publisher name
Springer
Place of publication
Cham
Event location
Ostrava
Event date
Jun 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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