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Innovative and Advanced Applications of Hyperspectral Imaging Technology

This special issue belongs to the section “Optics and Lasers“.

Special Issue Information

Dear Colleagues,

Hyperspectral imaging has become a huge topic and one of most promising techniques in remote sensing with a number of applications in very varied areas of research. Macroscopic hyperspectral imaging was mostly implemented by satellites and airplanes, but with today’s development of cheaper drones, hyperspectral measurement increases the possibilities of use to unimaginable limits (agronomy, forestry, geology, archeology, hydrology, ecology). On the other hand, with the rapid development of hyperspectral sensors and illumination sources, laboratory and field hyperspectral imaging provide many new applications (industry, engineering, archeology, medicine). The rapid growth of this field has made it difficult for many researchers to keep up with the development and advancement of its technology, including data handling, analysis, and presentation. Thus, this Special Issue aims to address the current status of technology and application in any of the above mentioned areas of use of hyperspectral measurements and remote sensing methods. Papers exploring the innovative possibilities of using hyperspectral sensors and ways of processing and obtaining results from them for different areas of human activity are invited.

Dr. Andrija Krtalić
Dr. Anna Brook
Prof. Dr. Paul Geladi
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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

  • Spectral signature
  • Spectral interpretation
  • Spatial scanning
  • Multivariate classification and regression
  • Spectral scanning
  • Spectral angle mapping

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Appl. Sci. - ISSN 2076-3417