MGFN: A Multi-Granularity Fusion Convolutional Neural Network for Remote Sensing Scene Classification

MGFN: A Multi-Granularity Fusion Convolutional Neural Network for Remote Sensing Scene Classification

Convolutional neural networks (CNNs) have been successfully used in remote sensing scene classification and identification due to their ability to capture deep spatial feature representations. However, the performance of deep models inevitably encounters a bottleneck when multimodality-dominated sce...

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Bibliographic Details
Main Authors: Zhiguo Zeng, Xihong Chen, Zhihua Song
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
multi-granularity fusion
Gaussian covariance matrix
remote sensing scene classification
Online Access:https://ieeexplore.ieee.org/document/9435362/

Internet

https://ieeexplore.ieee.org/document/9435362/

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