Large-Kernel Central Block Masked Convolution and Channel Attention-Based Reconstruction Network for Anomaly Detection of High-Resolution Hyperspectral Imagery

Large-Kernel Central Block Masked Convolution and Channel Attention-Based Reconstruction Network for Anomaly Detection of High-Resolution Hyperspectral Imagery

In recent years, the rapid advancement of drone technology has led to an increasing use of drones equipped with hyperspectral sensors for ground imaging. Hyperspectral data captured via drones offer significantly higher spatial resolution, but this also introduces more complex background details and...

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Bibliographic Details
Main Authors: Qiong Ran, Hong Zhong, Xu Sun, Degang Wang, He Sun
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
high-resolution hyperspectral image
anomaly detection
deep learning
self-supervised learning
Online Access:https://www.mdpi.com/2072-4292/16/22/4125

Internet

https://www.mdpi.com/2072-4292/16/22/4125

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