Memory-Augmented Autoencoder With Adaptive Reconstruction and Sample Attribution Mining for Hyperspectral Anomaly Detection
Author:
Affiliation:
1. School of Aerospace Science and Technology, Xidian University, Xi’an, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities and the Innovation Fund of Xidian University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10528333.pdf?arnumber=10528333
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1. Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking
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3. AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification
4. Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection
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