Focal Cosine Metric and Adaptive Attention Module for Remote Sensing Scene Classification With Siamese Convolutional Neural Networks

Focal Cosine Metric and Adaptive Attention Module for Remote Sensing Scene Classification With Siamese Convolutional Neural Networks

Convolutional neural networks (CNNs) have been widely used in remote sensing (RS) scene classification tasks due to their remarkable feature representation and inference capability. The complexity of RS images not only brings the challenges of high inter-class similarity and large intra-class divers...

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Bibliographic Details
Main Authors: Lei Min, Kun Gao, Hong Wang, Yutong Liu, Zhenzhou Zhang, Zibo Hu, Xiaodian Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Remote sensing scene classification
Siamese convolutional neural network
focal cosine metric
adaptive attention
Online Access:https://ieeexplore.ieee.org/document/9815257/

Internet

https://ieeexplore.ieee.org/document/9815257/

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