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

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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Bibliographic Details
Main Authors: Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Štajduhar, Jonatan Lerga
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
remote sensing
convolutional neural network (CNN)
feature extraction
feature fusion
Online Access:https://www.mdpi.com/1424-8220/20/14/3906

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https://www.mdpi.com/1424-8220/20/14/3906

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