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2020 – today
- 2024
[j8]Shizhen Chang
, Michael Kopp, Pedram Ghamisi, Bo Du:
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)- 2023
- [j7]Shizhen Chang, Pedram Ghamisi:
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. IEEE Trans. Image Process. 32: 6047-6060 (2023) - [i6]Shizhen Chang, Pedram Ghamisi:
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. CoRR abs/2304.01091 (2023) - [i5]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. CoRR abs/2304.01101 (2023) - [i4]Shizhen Chang:
Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment? CoRR abs/2305.10247 (2023) - 2022
- [j6]Shizhen Chang, Pedram Ghamisi:
Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j5]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c4]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. CDCEO@IJCAI 2022: 7-13 - [i3]Shizhen Chang, Pedram Ghamisi:
Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection. CoRR abs/2203.10030 (2022) - [i2]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. CoRR abs/2210.04271 (2022) - [i1]Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi:
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. CoRR abs/2212.09360 (2022) - 2021
- [c3]Shizhen Chang, Pedram Ghamisi:
Hyperspectral Anomaly Detection based on Low-rank Structure Exploration. CIKM Workshops 2021 - 2020
- [j4]Yichu Xu, Bo Du, Liangpei Zhang, Shizhen Chang:
A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 17(7): 1248-1252 (2020) - [j3]Shizhen Chang, Bo Du, Liangpei Zhang:
A Subspace Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 58(6): 4033-4046 (2020) - [c2]Shizhen Chang, Bo Du, Liangpei Zhang:
Positive Unlabeled Learning with Class-prior Approximation. IJCAI 2020: 2014-2021
2010 – 2019
- 2019
- [c1]Shizhen Chang, Bo Du, Liangpei Zhang:
A Sparse Autoencoder Based Hyperspectral Anomaly Detection Algorihtm Using Residual of Reconstruction Error. IGARSS 2019: 5488-5491 - 2018
- [j2]Shizhen Chang, Bo Du, Liangpei Zhang:
BASO: A Background-Anomaly Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 56(7): 3747-3761 (2018) - 2017
- [j1]Shizhen Chang, Bo Du, Liangpei Zhang, Rui Zhao:
IBRS: An Iterative Background Reconstruction and Suppression Framework for Hyperspectral Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(7): 3406-3417 (2017)
Coauthor Index
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