Meta-Learning Based Hyperspectral Target Detection Using Siamese Network

Author:

Wang Yulei1ORCID,Chen Xi1ORCID,Wang Fengchao1,Song Meiping1,Yu Chunyan1ORCID

Affiliation:

1. Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China

Funder

National Nature Science Foundation of China

China Postdoctoral Science Foundation

Open Research Funds of State Key Laboratory of Integrated Services Networks, Xidian University

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference47 articles.

1. A simple neural attentive meta-learner;mishra;Proc Int Conf Learn Represent (ICLR),2018

2. Meta-learning with graph neural networks: Methods and applications;mandal;arXiv 2103 00137,2021

3. SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection

4. Auto-encoding variational Bayes;kingma;arXiv 1312 6114,2013

5. Adversarial autoencoders;makhzani;arXiv 1511 05644,2015

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3. Learnable Background Endmember With Subspace Representation for Hyperspectral Anomaly Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

4. CE-RX: A Collaborative Cloud-Edge Anomaly Detection Approach for Hyperspectral Images;Remote Sensing;2023-08-29

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