Editorial Foreword to the Special Issue on Artificial Intelligence for Hyper- and Multi-spectral Remote Sensing Image Processing

Priti Bansal, Vasile Palade, Vincenzo Piuri

Research output: Contribution to journalEditorialpeer-review

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Abstract

In the current age of widespread application of artificial intelligence (AI) across various facets of life, satellite remote sensing is no outlier. Thanks to the ongoing enhancements in the spatial and temporal resolutions of satellite images, they are emerging as invaluable assets in areas such as land-use analysis, meteorology, change detection, and beyond. Accurate analysis and classification at various levels of hyperspectral images (HSIs) and multispectral remote sensing images (RSIs) are essential for extracting valuable insights from these datasets.
Original languageEnglish
Pages (from-to)7212-7215
Number of pages4
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume17
DOIs
Publication statusPublished - 19 Mar 2024

Bibliographical note

© 2024 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see
https://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Atmospheric Science
  • Computers in Earth Sciences

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Atmospheric Science

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