Contrastive Learning of Multimodal Consistency Feature Representation for Remote Sensing Image Registration

Contrastive Learning of Multimodal Consistency Feature Representation for Remote Sensing Image Registration

Feature representation is a crucial issue in multimodal image registration. The handcrafted features extracted by traditional methods are highly sensitive to nonlinear radiation differences, while supervised learning methods are limited by deficient labeled samples in the remote sensing field. There...

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Bibliographic Details
Main Authors: Zhen Han, Ning Lv, Zhiyi Wang, Wei Han, Li Cong, Shaohua Wan, Chen Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Contrastive learning
feature representation
multimodal image
remote sensing image registration
Online Access:https://ieeexplore.ieee.org/document/10538340/

Internet

https://ieeexplore.ieee.org/document/10538340/

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