Contrastive Learning of Multimodal Consistency Feature Representation for Remote Sensing Image Registration
Zhen Han,
Ning Lv,
Zhiyi Wang
et al.
Abstract: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. Therefore, this paper proposes a consistency feature representation learning method for multimodal image registration, which involves mapping data into a common feature space to realize the accurate alignment of remote s… Show more
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