Siamese hyperspectral target detection using synthetic training data-Reference-Cited by-同舟云学术

Siamese hyperspectral target detection using synthetic training data

Published:2020-09 Issue:21 Volume:56 Page:1116-1118
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Kim J.‐H.¹,Kim J.¹,Joung J.¹

Affiliation:

1. Electro‐Optic DirectorateAgency for Defense DevelopmentDaejeonRepublic of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2020.1758

Reference13 articles.

1. Hyperspectral Target Detection : An Overview of Current and Future Challenges

2. Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms

3. A Hyperspectral Target Detection Framework With Subtraction Pixel Pair Features

4. AndersonD.Z.ZollwegJ.D.SmithB.J.: ‘Paired neural networks for hyperspectral target detection’.Proc. of SPIE San Diego CA USA October 2019 p.111390J

5. IentilucciE.J.BrownS.D.: ‘Advances in wide‐area hyperspectral image simulation’.Proc. of SPIE Orlando FL USA September 2003 p.110

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2. GAN-Based Synthetic Data Augmentation for Infrared Small Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2022

3. Siamese Transformer Network for Hyperspectral Image Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2022