Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification

Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification

Remote sensing scene classification has numerous applications on land cover land use. However, classifying the scene images into their correct categories is a challenging task. This challenge is attributable to the diverse semantics of remote sensing images. This nature of remote sensing images make...

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Detalles Bibliográficos
Autores principales: Ronald Tombe, Serestina Viriri
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Adaptive deep co-occurrence learning
deep feature extraction
ensemble learning
machine learning
multigrained forests
scene classification
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Acceso en línea:https://doaj.org/article/8375e9d955184c62b7a659acda78357a
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https://doaj.org/article/8375e9d955184c62b7a659acda78357a

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