Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery

Keywords

Hyperspectral imaging, Artificial intelligence, Pattern recognition (psychology), Anomaly detection, Computer science

References

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• Structure tensor and nonsubsampled shearlet transform based algorithm for CT and MRI image fusionXingbin Liu, Wenbo Mei, Huiqian Du — 2017
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Cited by

• Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly DetectionWeiying Xie, Baozhu Liu, Yunsong Li — 2020
• Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly DetectionKai Jiang, Weiying Xie, Yunsong Li — 2020
• Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral LearningJie Lei, Shuo Fang, Weiying Xie — 2020
• A Spectral–Spatial Method Based on Fractional Fourier Transform and Collaborative Representation for Hyperspectral Anomaly DetectionChunhui Zhao, Chuang Li, Shou Feng — 2021
• Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly DetectionJiaping Zhong, Weiying Xie, Yunsong Li — 2021
• Unsupervised spectral mapping and feature selection for hyperspectral anomaly detectionWeiying Xie, Yunsong Li, Jie Lei — 2020
• A Spectral–Spatial Anomaly Target Detection Method Based on Fractional Fourier Transform and Saliency Weighted Collaborative Representation for Hyperspectral ImagesChunhui Zhao, Chuang Li, Shou Feng — 2020
• Spectral-Spatial Stacked Autoencoders Based on the Bilateral Filter for Hyperspectral Anomaly DetectionKai Zhao, Chuang Li, Shou Feng — 2020
• Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly DetectionChein‐I Chang, Hongju Cao, Meiping Song — 2021
• Sequential Band Fusion for Hyperspectral Anomaly DetectionMeiping Song, Fang Li, Chunyan Yu — 2021
• Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly DetectionWeiying Xie, Xin Zhang, Yunsong Li — 2021
• E2E-LIADE: End-to-End Local Invariant Autoencoding Density Estimation Model for Anomaly Target Detection in Hyperspectral ImageKai Jiang, Weiying Xie, Jie Lei — 2021
• Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly DetectionTao Jiang, Weiying Xie, Yunsong Li — 2021
• LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly DetectionKai Jiang, Weiying Xie, Jie Lei — 2021
• Hyperspectral Anomaly Detection: A Dual Theory of Hyperspectral Target DetectionChein‐I Chang — 2021
• Spectral Distribution-Aware Estimation Network for Hyperspectral Anomaly DetectionWeiying Xie, Shuran Fan, Jiahui Qu — 2022
• Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing ImageryQian Du, Bo Tang, Weiying Xie — 2021
• Sparse Coding-Inspired GAN for Hyperspectral Anomaly Detection in Weakly Supervised LearningYunsong Li, Tao Jiang, Weiying Xie — 2021
• Hyperspectral Anomaly Detection: A surveyHongjun Su, Zhaoyue Wu, Huihui Zhang — 2022
• LSTM-Adversarial Autoencoder for Spectral Feature Learning in Hyperspectral Anomaly DetectionTongbin Ouyang, Jinshen Wang, Xinyue Zhao — 2021

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