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ORCIDYao Liu 0012
Person information
- affiliation: China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing, China
Other persons with the same name
- Yao Liu — disambiguation page
- Yao Liu 0001
![[0000-0003-2817-0725]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2817-0725")
— Rutgers University, New Brunswick, USA (and 2 more) - Yao Liu 0002 — National University of Singapore
- Yao Liu 0003 — Delft University of Technology, Biomedical Electronics Group, The Netherlands
- Yao Liu 0004 — Wuhan University, School of Remote Sensing Information Engineering, China
- Yao Liu 0005 — Central South University, School of Information Science and Engineering, Changsha, China (and 2 more)
- Yao Liu 0006 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Yao Liu 0007 — University of South Florida, Department of Computer Science and Engineering, Tampa, FL, USA (and 1 more)
- Yao Liu 0008 — University of California, San Diego, USA
- Yao Liu 0009 — Stanford University, CA, USA (and 1 more)
- Yao Liu 0010 — Xidian University, Xi'an, China
- Yao Liu 0011 — Nanjing University, Nanjing, China
- Yao Liu 0013 — University of Pavia, Italy
- Yao Liu 0014 — Alibaba Group, Hangzhou, China (and 1 more)
- Yao Liu 0015 — Texas A&M University, College Station, TX, USA
- Yao Liu 0016 — Southwest University, Chong Qing, China
- Yao Liu 0017 — East China Normal University, Faculty of Information, College of Computer Science and Software Engineering, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China (and 1 more)
- Yao Liu 0018 — University of Science and Technology of China, Hefei, China
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Journal Articles
- 2023
[j9]Lina Zhuang, Michael K. Ng, Yao Liu:
Cross-Track Illumination Correction for Hyperspectral Pushbroom Sensor Images Using Low-Rank and Sparse Representations. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023)- 2022
- [j8]Haoyang Yu, Hao Zhang, Yao Liu, Ke Zheng, Zhen Xu, Chenchao Xiao:
Dual-Channel Convolution Network With Image-Based Global Learning Framework for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j7]Penghang Zhu, Yao Liu, Junsheng Li:
Optimization and Evaluation of Widely-Used Total Suspended Matter Concentration Retrieval Methods for ZY1-02D's AHSI Imagery. Remote. Sens. 14(3): 684 (2022) - [j6]Yao Liu, Junsheng Li, Chenchao Xiao, Fangfang Zhang, Shenglei Wang, Ziyao Yin, Chao Wang, Bing Zhang:
A Classification-Based, Semianalytical Approach for Estimating Water Clarity From a Hyperspectral Sensor Onboard the ZY1-02D Satellite. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j5]Ziyao Yin, Junsheng Li, Yao Liu, Ya Xie, Fangfang Zhang, Shenglei Wang, Xiao Sun, Bing Zhang:
Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations. Int. J. Appl. Earth Obs. Geoinformation 102: 102457 (2021) - 2020
- [j4]Yao Liu, Lianru Gao, Chenchao Xiao, Ying Qu, Ke Zheng, Andrea Marinoni:
Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning. Remote. Sens. 12(11): 1780 (2020) - [j3]Yao Liu, Chenchao Xiao, Junsheng Li, Fangfang Zhang, Shenglei Wang:
Secchi Disk Depth Estimation from China's New Generation of GF-5 Hyperspectral Observations Using a Semi-Analytical Scheme. Remote. Sens. 12(11): 1849 (2020) - 2016
- [j2]Yao Liu, Wenjuan Zhang, Bing Zhang:
Top-of-Atmosphere Image Simulation in the 4.3-µm Mid-infrared Absorption Bands. IEEE Trans. Geosci. Remote. Sens. 54(1): 452-456 (2016) - 2014
- [j1]Bing Zhang, Yao Liu, Wenjuan Zhang, Lianru Gao, Jun Li, Jun Wang, Xia Li:
Analysis of the Proportion of Surface Reflected Radiance in Mid-Infrared Absorption Bands. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2639-2646 (2014)
Conference and Workshop Papers
- 2017
- [c4]Yao Liu, Wenjuan Zhang, Bing Zhang, Yingzhao Ma:
A reflectance image simulation method for atmospheric absorption bands centered at 2.7 micron. IGARSS 2017: 4750-4753 - 2015
- [c3]Yao Liu, Wenjuan Zhang, Bing Zhang, Li Ni:
A spectral-correaltion-based emissivity image simulation method for the 2.7 micron absorption bands. WHISPERS 2015: 1-4 - 2014
- [c2]Yao Liu, Wenjuan Zhang, Bing Zhang, Quanjun Jiao:
A fast land surface temperature retrieval method for modis images using band 22 and 23 data. IGARSS 2014: 1797-1800 - 2012
- [c1]Yao Liu, Wenjuan Zhang, Bing Zhang:
Analysis of surface radiance composition for absorption bands in middle-infrared regions. WHISPERS 2012: 1-4
Coauthor Index
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