Special Issue: Deep Learning in Remote Sensing Applications (Editorial)

Satellite remote sensing applications are data-intensive, and monitoring activities are the most common use of remote sensing data [...]

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Main Author: Francesco Zirilli
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
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Online Access:https://www.mdpi.com/2076-3417/15/9/5019
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author Francesco Zirilli
author_facet Francesco Zirilli
author_sort Francesco Zirilli
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description Satellite remote sensing applications are data-intensive, and monitoring activities are the most common use of remote sensing data [...]
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spelling doaj-art-a87c05c677244577baaf0bfa0075bbd62025-08-20T02:58:47ZengMDPI AGApplied Sciences2076-34172025-04-01159501910.3390/app15095019Special Issue: Deep Learning in Remote Sensing Applications (Editorial)Francesco Zirilli0Dipartimento di Matematica “G. Castelnuovo”, Università di Roma “La Sapienza”, 00185 Rome, ItalySatellite remote sensing applications are data-intensive, and monitoring activities are the most common use of remote sensing data [...]https://www.mdpi.com/2076-3417/15/9/5019n/a
spellingShingle Francesco Zirilli
Special Issue: Deep Learning in Remote Sensing Applications (Editorial)
Applied Sciences
n/a
title Special Issue: Deep Learning in Remote Sensing Applications (Editorial)
title_full Special Issue: Deep Learning in Remote Sensing Applications (Editorial)
title_fullStr Special Issue: Deep Learning in Remote Sensing Applications (Editorial)
title_full_unstemmed Special Issue: Deep Learning in Remote Sensing Applications (Editorial)
title_short Special Issue: Deep Learning in Remote Sensing Applications (Editorial)
title_sort special issue deep learning in remote sensing applications editorial
topic n/a
url https://www.mdpi.com/2076-3417/15/9/5019
work_keys_str_mv AT francescozirilli specialissuedeeplearninginremotesensingapplicationseditorial