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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Bibliographic Details
Main Authors:	Ronald Tombe, Serestina Viriri
Format:	article
Language:	EN
Published:	IEEE 2021
Subjects:	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
Online Access:	https://doaj.org/article/8375e9d955184c62b7a659acda78357a
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Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification

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