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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Štajduhar, Jonatan Lerga
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-07-01
Serie:Sensors
Ämnen:
remote sensing
convolutional neural network (CNN)
feature extraction
feature fusion
Länkar:https://www.mdpi.com/1424-8220/20/14/3906
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk