Multimodal Bilinear Fusion Network With Second-Order Attention-Based Channel Selection for Land Cover Classification

Multimodal Bilinear Fusion Network With Second-Order Attention-Based Channel Selection for Land Cover Classification

As two different tools for earth observation, the optical and synthetic aperture radar (SAR) images can provide complementary information of the same land types for better land cover classification. However, because of the different imaging mechanisms of optical and SAR images, how to efficiently ex...

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Bibliographic Details
Main Authors: Xiao Li, Lin Lei, Yuli Sun, Ming Li, Gangyao Kuang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
bilinear pooling model
convolutional neural network (CNN)
feature fusion
land cover classification
multimodal learning
Online Access:https://ieeexplore.ieee.org/document/9019866/

Internet

https://ieeexplore.ieee.org/document/9019866/

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