Shizhen Chang
Orcid: 0000-0002-9785-7937
According to our database1,
Shizhen Chang
authored at least 16 papers
between 2017 and 2024.
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Collaborative distances:
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Bibliography
2024
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
IEEE Trans. Image Process., 2023
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.
CoRR, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
CoRR, 2022
CoRR, 2022
A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
2021
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021
2020
A Subspace Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2020
A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
A Sparse Autoencoder Based Hyperspectral Anomaly Detection Algorihtm Using Residual of Reconstruction Error.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
BASO: A Background-Anomaly Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2018
2017
IBRS: An Iterative Background Reconstruction and Suppression Framework for Hyperspectral Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017