Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification

Scene classification relying on images is essential in many systems and applications related to remote sensing. The scientific interest in scene classification from remotely collected images is increasing, and many datasets and algorithms are being developed. The introduction of convolutional neural...

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Autori principali: Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Štajduhar, Jonatan Lerga
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2020-07-01
Serie:Sensors
Soggetti:
remote sensing
convolutional neural network (CNN)
feature extraction
feature fusion
Accesso online:https://www.mdpi.com/1424-8220/20/14/3906
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