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Remote Sensing of Image Pansharpening

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 598

Special Issue Editors


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Guest Editor
Institute of Applied Physics "Nello Carrara", National Research Council of Italy, Via Madonna del Piano, 10, 50019 Sesto Fiorentino, FI, Italy
Interests: image processing; image fusion; pansharpening; data compression; image quality

E-Mail Website
Guest Editor
Department of Information Engineering (DINFO), University of Florence, 50139 Florence, Italy
Interests: remote sensing data fusion; SAR data processing and analysis

Special Issue Information

Dear Colleagues,

This special issue wishes to address the challenges, opportunities and solutions for improving the resolution and/or the radiometric quality of remote sensing images by means of data fusion. Spatial resolution and radiometric quality of remote sensing image data, which are crucial issues for users in a variety of applications, are generally complementary and limited by technological constraints of the hardware, by the atmosphere, and by the bottleneck of the data downlink. Multi-source and/or multi-spectral data provide complementary information. The fusion of such an information according to the respective acquisition models is an effective way to obtain remote sensing images with high resolutions and/or high radiometric qualities. The terms multi/hyper-spectral and thermal pan/hyper-sharpening encompass a number of viable solutions tailored to the variety of current and upcoming airborne and spaceborne instruments.

Of particular interest are papers that focus on (but are not limited to):

1) Spatio-spectral image fusion of spectrally overlapped channels (pan-sharpening)

2) Spatio-spectral image fusion of spectrally non-overlapped channels (hyper-sharpening, thermal sharpening)

3) Novel representations of multi/hyper-spectral data suitable for their fusion

4) Fusion of heterogeneous datasets, e.g., optical and synthetic aperture radar (SAR) data

5) Fusion methods preserving quantitative product of optical remote sensing (e.g., surface reflectance, NDVI, etc.)

6) Fusion-based radiometric/atmospheric corrections of remote sensing data

7) Reconstruction of missing information by means of data fusion

8) Novel applications of the data with improved resolution and/or radiometric quality

Dr. Luciano Alparone
Dr. Bruno Aiazzi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Data fusion
  • Image pan-sharpening and hyper-sharpening
  • Remote sensing
  • Radiative transfer model
  • Atmosphere
  • Multispectral scanners
  • Imaging spectrometers
  • Thermal scanners
  • Modulation transfer function (MTF)
  • Synthetic aperture radar (SAR)

Published Papers

There is no accepted submissions to this special issue at this moment.
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