CAIL: Cross-Modal Vehicle Reidentification in Aerial Images Using the Centroid-Aligned Implicit Learning Network

CAIL: Cross-Modal Vehicle Reidentification in Aerial Images Using the Centroid-Aligned Implicit Learning Network

With the rapid development of autonomous aerial vehicles (AAV) remote sensing equipment, multimodal image data in the remote sensing field have exploded in recent years.In order to effectively alleviate the differences between the three modalities of SAR, visible light, and infrared, we proposed a v...

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Bibliographic Details
Main Authors: Haoran Gao, Yiming Yan, Yanming He, Jianzheng Zhou, Zhengning Zhang, Yunchao Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Centroid alignment loss
implicit learning
multimodal aerial images
autonomous aerial vehicles (AAV)
vehicle reidentification (Re-ID)
Online Access:https://ieeexplore.ieee.org/document/10783041/
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https://ieeexplore.ieee.org/document/10783041/

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