Deep Learning and Transformers’ Methods Applied to Remotely Captured Data

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 n...

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Bibliographic Details

Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Subjects:	Remote Sensing Super-Resolution Deep Learning Ship Detection Satellite Imaging Transformer Models Image Classification Terrain Analysis LiDAR Data Point Cloud Transformer thema EDItEUR::R Earth Sciences, Geography, Environment, Planning thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing
Online Access:	ONIX_20240704_9783725805853_60
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