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Computational Intelligence in Remote Sensing: An Editorial.

Manuel Graña1, Michal Wozniak2, Sebastian Rios3

  • 1Computational Intelligence Group, University of the Basque Country, UPV/EHU, Computer Science Faculty, 00685 San Sebastian, Spain.

Sensors (Basel, Switzerland)
|January 26, 2020
PubMed
Summary
This summary is machine-generated.

This editorial introduces a special issue on computational intelligence (CI) in remote sensing. It highlights how CI algorithms are vital for analyzing remote sensing data and developing new tools.

Keywords:
Hyperspectral imagesclassificationcomputational intelligenceevolutionary computationfeature extractionradarremote sensing

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Area of Science:

  • Artificial intelligence
  • Remote sensing technology

Background:

  • Computational intelligence (CI) is a dynamic field within artificial intelligence.
  • Remote sensing data offers a rich area for applying CI algorithms.
  • CI facilitates both data exploitation and the development of novel analytical tools.

Discussion:

  • This editorial sets the stage for the special issue on CI in Remote Sensing.
  • It provides an overview of the diverse applications and computational tools covered in the issue.
  • The papers showcase the synergy between CI and remote sensing.

Key Insights:

  • The special issue features 11 papers demonstrating broad applications of CI in remote sensing.
  • Key insights span various CI techniques applied to remote sensing challenges.
  • The collection emphasizes the practical utility and research advancements in this interdisciplinary field.

Outlook:

  • Future research directions in CI for remote sensing are suggested.
  • The potential for developing more sophisticated data analysis tools is highlighted.
  • Continued advancements are expected in leveraging CI for enhanced remote sensing capabilities.