Science, Nature & Maths      Earth Sciences

Deep Learning and Transformers' Methods Applied to Remotely Captured Data

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Book Details
Language
English
Publishers
MDPI AG (15 May 2024)
Weight
0.94 KG
Publication Date
15/05/2024
ISBN-10
3725805857
Pages
348 pages
ISBN-13
9783725805853
Dimensions
16.99 x 2.69 x 24.41 cm
SKU
9783725805853
Author Name
Moulay A. Akhloufi (Editor)
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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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