Hyper-Sharpening: A First Approach on SIM-GA Data

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 suitab...

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Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 8; no. 6; pp. 3008 - 3024
Main Authors:	Selva, Massimo, Aiazzi, Bruno, Butera, Francesco, Chiarantini, Leandro, Baronti, Stefano
Format:	Journal Article
Language:	English
Published:	IEEE 01.06.2015
Subjects:	Correlation Dimensionality reduction hypersharpening hyperspectral (HS) Hyperspectral sensors image fusion Instruments Noise pansharpening remote sensing Spatial resolution Dimensionality reduction pansharpening hyperspectral (HS) remote sensing image fusion hypersharpening
ISSN:	1939-1404, 2151-1535
Online Access:	Get full text
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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.
AbstractList	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.
Author	Baronti, Stefano Aiazzi, Bruno Selva, Massimo Butera, Francesco Chiarantini, Leandro
Author_xml	– sequence: 1 givenname: Massimo surname: Selva fullname: Selva, Massimo email: m.selva@ifac.cnr.it organization: Instituto di Fisica Applicata Nello Carrara, CNR Area della Ricerca di Firenze, Sesto Fiorentino, FI, Italy – sequence: 2 givenname: Bruno surname: Aiazzi fullname: Aiazzi, Bruno email: b.aiazzi@ifac.cnr.it organization: Instituto di Fisica Applicata Nello Carrara, CNR Area della Ricerca di Firenze, Sesto Fiorentino, FI, Italy – sequence: 3 givenname: Francesco surname: Butera fullname: Butera, Francesco email: francesco.butera@selex-es.com organization: Selex ES, Florence, Italy – sequence: 4 givenname: Leandro surname: Chiarantini fullname: Chiarantini, Leandro email: leandro.chiarantini@selex-es.com organization: Selex ES, Florence, Italy – sequence: 5 givenname: Stefano surname: Baronti fullname: Baronti, Stefano email: s.baronti@ifac.cnr.it organization: Instituto di Fisica Applicata Nello Carrara, CNR Area della Ricerca di Firenze, Sesto Fiorentino, FI, Italy
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Snippet	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...
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SubjectTerms	Correlation Dimensionality reduction hypersharpening hyperspectral (HS) Hyperspectral sensors image fusion Instruments Noise pansharpening remote sensing Spatial resolution
Title	Hyper-Sharpening: A First Approach on SIM-GA Data
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