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...

Full description

Bibliographic Details
Main Authors: Ronald Tombe, Serestina Viriri
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adaptive deep co-occurrence learning
deep feature extraction
ensemble learning
machine learning
multigrained forests
scene classification
Online Access:https://ieeexplore.ieee.org/document/9291440/

Internet

https://ieeexplore.ieee.org/document/9291440/

Similar Items