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ORCIDLi Ma 0005
Person information
- affiliation: China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan, China
- affiliation (PhD 2011): Huazhong University of Science and Technology, Wuhan, China
Other persons with the same name
- Li Ma — disambiguation page
- Li Ma 0001 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Li Ma 0002 — IBM China Research Lab, Beijing, China
- Li Ma 0003
![[0000-0002-3110-9821]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3110-9821")
— Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China (and 1 more) - Li Ma 0004 — Gannan Normal University, College of Mathematics and Computers, Ganzhou, China (and 1 more)
- Li Ma 0006 — University of Abertay, Dundee, UK
- Li Ma 0007 — North China University of Technology, China
- Li Ma 0008 — Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 1 more)
- Li Ma 0009 — Peking University, National Engineering Laboratory for Video Technology, School of Computer Science, Beijing, China
- Li Ma 0010 — Xi'an University of Posts and Telecommunications, Provincial Key Laboratory of Network Data Analysis and Intelligent Processing, Shaanxi, China
- Li Ma 0011 — Foshan University, School of Electronic and Information Engineering, China
- Li Ma 0012 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
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2020 – today
- 2024
[j24]Qian Wan, Li Ma:
DPP: Scale-Generalization Transformer Based on Dynamic Projection for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j23]Sihao Luo, Li Ma, Xiaoquan Yang, Qian Du:
Multilevel Unsupervised Domain Adaptation for Single-Stage Object Detection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19420-19435 (2024) - [j22]Sihao Luo, Li Ma, Xiaoquan Yang, Dapeng Luo, Qian Du:
Self-Training-Based Unsupervised Domain Adaptation for Object Detection in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-21 (2024) - 2023
- [j21]Li Ma, Shuyue Li, Zhiyong Zhou, Yafeng Yao, Qian Du:
Semantic Segmentation Network for Classification of Hyperspectral Images With Small Size Samples. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j20]Zhaokui Li, Qiang Xu, Li Ma, Zhuoqun Fang, Yan Wang, Wenqiang He, Qian Du:
Supervised Contrastive Learning-Based Unsupervised Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - 2022
- [j19]Xueqing Chen, Li Ma, Qian Du:
Oriented Object Detection by Searching Corner Points in Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j18]Zhuoqun Fang, Yuexin Yang, Zhaokui Li, Wei Li, Yushi Chen, Li Ma, Qian Du:
Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [j17]Hongkang Wei, Li Ma, Yong Liu, Qian Du:
Combining Multiple Classifiers for Domain Adaptation of Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1832-1847 (2021) - [j16]Wenjin Wang, Li Ma, Min Chen, Qian Du:
Joint Correlation Alignment-Based Graph Neural Network for Domain Adaptation of Multitemporal Hyperspectral Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3170-3184 (2021) - [j15]Zixu Liu, Li Ma, Qian Du:
Class-Wise Distribution Adaptation for Unsupervised Classification of Hyperspectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(1): 508-521 (2021) - 2020
- [j14]Min Chen, Li Ma, Wenjin Wang, Qian Du:
Augmented Associative Learning-Based Domain Adaptation for Classification of Hyperspectral Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6236-6248 (2020) - [j13]Robiulhossain Mdrafi, Qian Du, Ali Cafer Gürbüz, Bo Tang, Li Ma, Nicolas H. Younan:
Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6424-6433 (2020)
2010 – 2019
- 2019
- [j12]Jiangtao Peng, Weiwei Sun, Li Ma, Qian Du:
Discriminative Transfer Joint Matching for Domain Adaptation in Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(6): 972-976 (2019) - [j11]Li Ma, Chuang Luo, Jiangtao Peng, Qian Du:
Unsupervised Manifold Alignment for Cross-Domain Classification of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 16(10): 1650-1654 (2019) - [j10]Li Zhou, Li Ma:
Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 16(11): 1781-1785 (2019) - [j9]Li Ma, Melba M. Crawford, Lei Zhu, Yong Liu:
Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(4): 2305-2323 (2019) - 2018
- [j8]Chuang Luo, Li Ma:
Manifold Regularized Distribution Adaptation for Classification of Remote Sensing Images. IEEE Access 6: 4697-4708 (2018) - [j7]Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma:
Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification. Pattern Recognit. 81: 81-94 (2018) - 2017
- [j6]Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma:
Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification. Pattern Recognit. 63: 102-114 (2017) - 2016
- [j5]Lei Zhu, Li Ma:
Class centroid alignment based domain adaptation for classification of remote sensing images. Pattern Recognit. Lett. 83: 124-132 (2016) - [j4]Li Ma, Andong Ma, Cai Ju, Xingmei Li:
Graph-based semi-supervised learning for spectral-spatial hyperspectral image classification. Pattern Recognit. Lett. 83: 133-142 (2016) - [j3]Li Ma, Xiaofeng Zhang, Xin Yu, Dapeng Luo:
Spatial Regularized Local Manifold Learning for Classification of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 609-624 (2016) - 2015
- [j2]Li Ma, Melba M. Crawford, Xiaoquan Yang, Yan Guo:
Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(5): 2832-2844 (2015) - [c4]Yan Guo, Li Ma, Fei Zhu, Fujiang Liu:
Selecting Training Samples from Large-Scale Remote-Sensing Samples Using an Active Learning Algorithm. ISICA 2015: 40-51 - 2014
- [c3]Andong Ma, Li Ma:
Multi-feature based label propagation for semi-supervised classification of hyperspectral data. WHISPERS 2014: 1-4 - 2013
- [c2]Xiaopan Wang, Li Ma, Fujiang Liu:
Laplacian support vector machine for hyperspectral image classification by using manifold learning algorithms. IGARSS 2013: 1027-1030 - 2010
- [j1]Li Ma, Melba M. Crawford, Jinwen Tian:
Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(11): 4099-4109 (2010) - [c1]Li Ma, Melba M. Crawford, Jinwen Tian:
Anomaly detection for hyperspectral images using local tangent space alignment. IGARSS 2010: 824-827
Coauthor Index
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