An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images-Reference-Cited by-同舟云学术

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An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images

Published:2023-10-31 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Author:

Gundersen Aksel¹,Boyle Samuel¹,Orlandić Milica¹

Affiliation:

1. Norwegian University of Science and Technology (NTNU),Department of Electronic Systems,Trondheim,Norway,7034

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430415/10430497/10431080.pdf?arnumber=10431080

Reference22 articles.

1. Anomaly detection in hyperspectral imagery: an overview

2. A tutorial overview of anomaly detection in hyperspectral images

3. A weight SAE based hyperspectral image anomaly targets detection

4. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution

5. Comparison of RX-based anomaly detectors on synthetic and real hyperspectral data

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