DocumentCode :
112284
Title :
Hyper-Sharpening: A First Approach on SIM-GA Data
Author :
Selva, Massimo ; Aiazzi, Bruno ; Butera, Francesco ; Chiarantini, Leandro ; Baronti, Stefano
Author_Institution :
Area della Ricerca di Firenze, Inst. di Fis. Appl. “Nello Carrara, Sesto Fiorentino, Italy
Volume :
8
Issue :
6
fYear :
2015
fDate :
Jun-15
Firstpage :
3008
Lastpage :
3024
Abstract :
This paper aims at defining a new paradigm (hypersharpening) in remote sensing image fusion. In fact, due to the development of new instruments, thinking only in terms of pansharpening is reductive. Even though some expressions as hyperspectral (HS) pansharpening already exist, there is not a suitable definition when multispectral/hyperspectral data are used as source to extract spatial details. After defining the hypersharpening framework, we draw the readers´ attention to its peculiar characteristics, by proposing and evaluating two hypersharpening methods. Experiments are carried out on the data produced by the updated version of SIM-GA imager, designed by Selex ES, which is composed by a panchromatic camera and two spectrometers in the VNIR and SWIR spectral ranges, respectively. Owing to the different resolution factors among panchromatic, VNIR and SWIR data sets, we can apply hypersharpening to fuse SWIR data to VNIR resolution. Comparisons of hypersharpening with “traditional” pansharpening show hypersharpening is more effective.
Keywords :
image fusion; image processing; remote sensing; sensor fusion; HS pansharpening; SIM-GA data first approach; SWIR data hypersharpening; SWIR resolution factor; SWIR spectral range; Selex ES; VNIR resolution; VNIR resolution factor; VNIR spectral range; hyper-sharpening paradigm; hypersharpening framework; hypersharpening method evaluation; hyperspectral pansharpening; instrument development; multispectral-hyperspectral data; panchromatic camera; panchromatic resolution factor; reductive pansharpening; remote sensing image fusion; spectrometer; traditional pansharpening; updated SIM-GA imager version; Correlation; Hyperspectral sensors; Instruments; Noise; Spatial resolution; Dimensionality reduction; hypersharpening; hyperspectral (HS); image fusion; pansharpening; remote sensing;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2015.2440092
Filename :
7134741
Link To Document :
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