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ORCIDLijun Zhao 0001
Person information
- affiliation (PhD 2015): Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Other persons with the same name
- Lijun Zhao (aka: Li-jun Zhao, Li-Jun Zhao) — disambiguation page
- Lijun Zhao 0002
![[0000-0002-2305-1914]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2305-1914")
— Taiyuan University of Science and Technology, Institute of Digital Media and Communication, China (and 1 more) - Lijun Zhao 0003 — Harbin Institute of Technology, Harbin, China
- Lijun Zhao 0004 — Army Special Operations College, China
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2020 – today
- 2022
[j7]Zhitao Zhao, Ping Tang, Lijun Zhao, Zheng Zhang:
Few-Shot Object Detection of Remote Sensing Images via Two-Stage Fine-Tuning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)- 2021
- [j6]Wei Zhang, Ping Tang, Thomas Corpetti, Lijun Zhao:
WTS: A Weakly towards Strongly Supervised Learning Framework for Remote Sensing Land Cover Classification Using Segmentation Models. Remote. Sens. 13(3): 394 (2021) - [j5]Jiwen Tang, Zheng Zhang, Lijun Zhao, Ping Tang:
Increasing Shape Bias to Improve the Precision of Center Pivot Irrigation System Detection. Remote. Sens. 13(4): 612 (2021)
2010 – 2019
- 2019
- [j4]Dongao Ma, Ping Tang, Lijun Zhao:
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro. IEEE Geosci. Remote. Sens. Lett. 16(7): 1046-1050 (2019) - [j3]Lijun Zhao, Wei Zhang, Ping Tang:
Analysis of the inter-dataset representation ability of deep features for high spatial resolution remote sensing image scene classification. Multim. Tools Appl. 78(8): 9667-9689 (2019) - [j2]Wei Zhang, Ping Tang, Lijun Zhao:
Remote Sensing Image Scene Classification Using CNN-CapsNet. Remote. Sens. 11(5): 494 (2019) - [c5]Lijun Zhao, Wei Zhang, Ping Tang:
Application Potential of GF-4 Satellite Images for Water Body Extraction. IGARSS 2019: 6142-6145 - [c4]Lijun Zhao, Ping Tang:
Improved Visual Vocabularies for Scene Classification of High Resolution Remote Sensing Imagery in Urban Areas. JURSE 2019: 1-4 - [c3]Wei Zhang, Ping Tang, Lijun Zhao, Qingqing Huang:
A Comparative Study of U-Nets with Various Convolution Components for Building Extraction. JURSE 2019: 1-4 - 2018
- [i1]Dongao Ma, Ping Tang, Li-Jun Zhao:
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro. CoRR abs/1809.04985 (2018) - 2016
- [c2]Lian-Zhi Huo, Li-Jun Zhao, Ping Tang:
Hyperspectral image classification with sparse representation classifier and active learning. WHISPERS 2016: 1-5 - 2014
- [j1]Li-Jun Zhao, Ping Tang, Lian-Zhi Huo:
Land-Use Scene Classification Using a Concentric Circle-Structured Multiscale Bag-of-Visual-Words Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(12): 4620-4631 (2014) - [c1]Lian-Zhi Huo, Li-Jun Zhao, Ping Tang:
A novel semisupervised transductive SVM with spatial similarity for classification of hyperspectral data. WHISPERS 2014: 1-4
Coauthor Index
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