Special Issue "Spatial Enhancement of Hyperspectral Data and Applications"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (20 May 2017)
Prof. Yongqiang Zhao
Hyperspectral images with hundreds of contiguous spectral bands provide rich signal information. For many particular applications, such as detailed mapping, object identification, and mineral exploration, hyperspectral sensing is the only choice of data as conventional multi-spectral approach has been proven ineffective. Though airborne hyperspectral data can obtain very fine spatial resolution data, for large-scale investigations at regional to global scales, costs for acquisition and preprocessing of airborne hyperspectral images seem impractical. While future hyperspectral missions, such as EnMAP, the Japanese Hyperspectral Imager Suite (HISUI), the Italian PRISMA (Hyperspectral Precursor of the Application Mission), the US Hyperspectral Infrared Imager (HyspIRI), or the French HYPXIM will have global coverage, their spatial resolution remains too coarse for suitable use. As of a decade ago, there has been a surge of research on spatial enhancement of spaceborne hyperspectral data through superresolution reconstruction and image fusion techniques, for the latter the PANsharpening approach is most representative. Advancement of spatial enhancement methodology certainly provides a motivation for new applications, and a more urgent task is how to evaluate such resolution-enhanced data product. As such, the goal of this Special Issue is to gather experts active in the field to share most novel spatial enhancement approaches for hyperspectral data, as well as ways of validation. It is also important to disseminate such methods in terms of efficiency, consistency, and their effectiveness with concurrent satellite missions, for instance, EnMAP and Sentinel. As developments of various enhancement methods are maturing, it is of particular interest in their possible use in specific application and to show how the new strategy can advance scientific capability of hyperspectral remote sensing beyond conventional configuration constraints. Therefore, we would like to invite submission for the following topics:
- Superresolution enhancement of HS image
- Image fusion for spatial enhancement of HS image
- Evaluation methodology for spatially enhanced HS image
- Assessment of enhanced HS image for generic land cover/land use classification
- Assessment of enhanced HS image for conventional and innovative applications
Authors are required to check and follow specific Instructions to Authors, see https://dl.dropboxusercontent.com/u/165068305/Remote_Sensing-Additional_Instructions.pdf.
Dr. Jonathan Cheung-Wai Chan
Prof. Yongqiang Zhao
Dr. Naoto Yokoya
Manuscript Submission Information
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