HTC-HAD: A Hybrid Transformer-CNN Approach for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) identifies anomalies by analyzing differences between anomalies and background pixels without prior information, presenting a significant challenge. Most existing studies leverage the high correlation in spectral and spatial dimensions, primarily focusing on loc...

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Bibliographic Details
Main Authors: Minghua Zhao, Wen Zheng, Jing Hu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online Access:https://ieeexplore.ieee.org/document/10959089/
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