IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition

IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition

Deep learning techniques have achieved significant success in Synthetic Aperture Radar (SAR) target recognition using predefined datasets in static scenarios. However, real-world applications demand that models incrementally learn new information without forgetting previously acquired knowledge. The...

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Bibliographic Details
Main Authors: George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
incremental learning
robust principal component analysis (RPCA)
synthetic aperture radar (SAR) target classification
vision transformer
Online Access:https://ieeexplore.ieee.org/document/10838563/
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