Spatial Anomaly Detection in Hyperspectral Imaging Using Optical Neural Networks
Author:
Affiliation:
1. Zhejiang University, Hangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/9670/10111508/10040989.pdf?arnumber=10040989
Reference20 articles.
1. Hyperspectral anomaly detection method based on auto-encoder;bati;Image and Signal Processing for Remote Sensing,2015
2. Deep learning for anomaly detection: A review;pang;ACM Comput Surv,2021
3. Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)
4. GAN-based Hyperspectral Anomaly Detection
5. EMNIST: An extension of MNIST to handwritten letters;cohen,2017
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