Deep learning and transformers’ methods applied to remotely captured data | Kementerian Pendidikan Dasar dan Menengah

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Deep learning and transformers’ methods applied to remotely captured data

Akhloufi, Moulay A. - Personal Name; Shahbazi, Mozhdeh - Personal Name;

The areas of machine learning and deep learning have experienced impressive progress in recent years. This progress has mainly been driven by the availability of high processing performance at an affordable cost and a large quantity of data. Most state-of-the-art techniques today are based on deep neural networks or the more recently proposed transformers. This progress has sparked innovations in technologies, algorithms, and approaches and led to results that were unachievable until recently. Among the various research areas that have been significantly impacted by this progress is the processing of remotely captured data such as airborne and spaceborne passive and active imagery, underwater imagery, mobile mapping data, etc. This collection gathered cutting-edge contributions from researchers using deep learning and transformers for remote sensing and for processing remotely captured data.

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Series Title: -
Call Number: 551.5028 DEE d
Publisher: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute., 2024
Collation: x, 335 p.; ill.
Language: English
ISBN/ISSN: 9783725805860
Classification: 551.5028
Content Type: -
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Carrier Type: -
Edition: -
Subject(s): Earth Sciences, Geography, Environment, Planning
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