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ORCIDYixin Yang 0002
Person information
- affiliation: Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- affiliation: Vrije Universiteit Brussel, Brussels, Belgium
Other persons with the same name
- Yixin Yang — disambiguation page
- Yixin Yang 0001
![[0000-0001-6180-676X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6180-676X")
— Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 1 more) - Yixin Yang 0003 — Army Engineering University of PLA, Command and Control Engineering College, Nanjing, China
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2020 – today
- 2021
[j8]Yixin Yang, Shangzhen Song, Delian Liu, Jianqi Zhang, Jonathan Cheung-Wai Chan:
Robust Background Feature Extraction Through Homogeneous Region-Based Joint Sparse Representation for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 59(10): 8723-8737 (2021)- 2020
- [j7]Yixin Yang, Shangzhen Song, Delian Liu, Jonathan Cheung-Wai Chan, Jinze Li, Jianqi Zhang:
Hyperspectral Anomaly Detection Through Sparse Representation With Tensor Decomposition-Based Dictionary Construction and Adaptive Weighting. IEEE Access 8: 72121-72137 (2020) - [j6]Shangzhen Song, Hanlin Qin, Yixin Yang, Zhe Zhang, Huixin Zhou:
Hyperspectral Anomaly Detection via Graphical Connected Point Estimation and Multiple Support Vector Machines. IEEE Access 8: 94152-94164 (2020) - [j5]Yixin Yang, Jianqi Zhang, Shangzhen Song, Chi Zhang, Delian Liu:
Low-Rank and Sparse Matrix Decomposition With Orthogonal Subspace Projection-Based Background Suppression for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 17(8): 1378-1382 (2020) - [j4]Shangzhen Song, Huixin Zhou, Lin Gu, Yixin Yang, Yiyi Yang:
Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition. IEEE Geosci. Remote. Sens. Lett. 17(10): 1772-1776 (2020) - [j3]Shangzhen Song, Yixin Yang, Huixin Zhou, Jonathan Cheung-Wai Chan:
Hyperspectral Anomaly Detection via Graph Dictionary-Based Low Rank Decomposition with Texture Feature Extraction. Remote. Sens. 12(23): 3966 (2020) - [i1]Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke:
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020)
2010 – 2019
- 2019
- [j2]Yixin Yang, Jianqi Zhang, Shangzhen Song, Delian Liu:
Hyperspectral Anomaly Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting. Remote. Sens. 11(2): 192 (2019) - [j1]Shangzhen Song, Huixin Zhou, Yixin Yang, Jiangluqi Song:
Hyperspectral Anomaly Detection via Convolutional Neural Network and Low Rank With Density-Based Clustering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3637-3649 (2019) - [c1]Shangzhen Song, Huixin Zhou, Zhe Zhang, Yixin Yang, Pei Xiang, Juan Du, Jiajia Zhang:
Low-Rank & Sparse Matrix Decomposition and Support Vector Machine for Hyperspectral Anomaly Detection. ICSM 2019: 315-321
Coauthor Index
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