Proxy-Based Rotation Invariant Deep Metric Learning for Remote Sensing Image Retrieval

Proxy-Based Rotation Invariant Deep Metric Learning for Remote Sensing Image Retrieval

Convolutional neural networks (CNNs) are frequently utilized in content-based remote sensing image retrieval (CBRSIR). However, the features extracted by CNNs are not rotationally invariant, which is problematic for remote sensing (RS) images where objects appear at variable rotation angles. In addi...

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Bibliographic Details
Main Authors: Zhoutao Cai, Yukai Pan, Wei Jin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep neural network
feature fusion
metrics learning
remote sensing (RS) image retrieval
rotation invariant
Online Access:https://ieeexplore.ieee.org/document/10483252/

Internet

https://ieeexplore.ieee.org/document/10483252/

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