Shizhen Chang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Anomaly Detection

Satellite Images

Subspace Learning

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

Publications

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 (2024)
Shizhen Chang
Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment? CoRR (2023)
Shizhen Chang, Michael Kopp, Pedram Ghamisi
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. CoRR (2023)
Shizhen Chang, Pedram Ghamisi
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. IEEE Trans. Image Process. 32 (2023)
Shizhen Chang, Pedram Ghamisi
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. CoRR (2023)
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 (2022)
Shizhen Chang, Michael Kopp, Pedram Ghamisi
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. CoRR (2022)
Shizhen Chang, Michael Kopp, Pedram Ghamisi
A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. CDCEO@IJCAI (2022)
Shizhen Chang, Pedram Ghamisi
Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Shizhen Chang, Michael Kopp, Pedram Ghamisi
Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Shizhen Chang, Pedram Ghamisi
Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection. CoRR (2022)
Shizhen Chang, Pedram Ghamisi
Hyperspectral Anomaly Detection based on Low-rank Structure Exploration. CIKM Workshops (2021)
Shizhen Chang, Bo Du, Liangpei Zhang
Positive Unlabeled Learning with Class-prior Approximation. IJCAI (2020)
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) (2020)
Shizhen Chang, Bo Du, Liangpei Zhang
A Subspace Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 58 (6) (2020)
Shizhen Chang, Bo Du, Liangpei Zhang
A Sparse Autoencoder Based Hyperspectral Anomaly Detection Algorihtm Using Residual of Reconstruction Error. IGARSS (2019)
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) (2018)
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) (2017)