CLPM: A Hybrid Network With Cross-Space Learning and Perception-Driven Mechanism for Long-Tailed Remote Sensing Image Classification

Long-tailed distribution is a common issue in remote sensing image classification (RSIC), and many datasets suffer from severe class imbalance. This imbalance often causes the classifier to focus on the head classes with more samples, neglecting the tail classes. As a result, the precision of the ta...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Lei Zhang, Min Kong, Changfeng Jing, Xing Xing
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Adaptive perception (AP) cross-space learning long-tailed distribution remote sensing image classification (RSIC) von Mises-Fisher (vMF) distribution
Online Access:	https://ieeexplore.ieee.org/document/11018338/