Improved Central Attention Network-Based Tensor RX for Hyperspectral Anomaly Detection

Improved Central Attention Network-Based Tensor RX for Hyperspectral Anomaly Detection

Recently, using spatial–spectral information for hyperspectral anomaly detection (AD) has received extensive attention. However, the test point and its neighborhood points are usually treated equally without highlighting the test point, which is unreasonable. In this paper, improved central attentio...

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Bibliographic Details
Main Authors: Lili Zhang, Jiachen Ma, Baohong Fu, Fang Lin, Yudan Sun, Fengpin Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
anomaly detection
central attention
tensor
hyperspectral image
Online Access:https://www.mdpi.com/2072-4292/14/22/5865

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