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• affiliation:China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing, China

• Yao Liu —disambiguation page
• Yao Liu0001 —Rutgers University, New Brunswick, USA(and 2 more)
• Yao Liu0002 — National University of Singapore
• Yao Liu0003 — Delft University of Technology, Biomedical Electronics Group, The Netherlands
• Yao Liu0004 — Wuhan University, School of Remote Sensing Information Engineering, China
• Yao Liu0005 —Central South University, School of Information Science and Engineering, Changsha, China(and 2 more)
• Yao Liu0006 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
• Yao Liu0007 —University of South Florida, Department of Computer Science and Engineering, Tampa, FL, USA(and 1 more)
• Yao Liu0008 — University of California, San Diego, USA
• Yao Liu0009 —Stanford University, CA, USA(and 1 more)
• Yao Liu0010 — Xidian University, Xi'an, China
• Yao Liu0011 — Nanjing University, Nanjing, China
• Yao Liu0013 — University of Pavia, Italy
• Yao Liu0014 —Alibaba Group, Hangzhou, China(and 1 more)
• Yao Liu0015 — Texas A&M University, College Station, TX, USA
• Yao Liu0016 — Southwest University, Chong Qing, China
• Yao Liu0017 —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 Liu0018 — University of Science and Technology of China, Hefei, China

• Jing-Yao Liu
• Ming-Yao Liu
• Shun-Yao Liu
• Yao-Chia Liu
• Yao-He Liu
• Yao-Hong Liu
• Yao-Kai Liu
• Yao-Yuan Liu
• Luyao Liu0001(aka: Lu-Yao Liu0001) — Dalian University of Technology, School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, China
• Liu Yao
• show all similar names

• 2024
• 
  [c8]
  Yingjuan Wei,Chenchao Xiao,Yao Liu:
  Research on Intelligent Interpretation Classification System for Multi Source Remote Sensing Big Data.IGARSS2024:4062-4065
• 
  [c7]
  Xiaotong Sun,Lina Zhuang,Lianru Gao,Hongmin Gao,Xu Sun,Yi Liu,Yao Liu,Bing Zhang:
  Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection.IGARSS2024:8209-8213
• 
  [c6]
  Haoyang Yu,Jinbei Zhao,Xueteng Wang,Zhixin Jiang,Yao Liu,Enyu Zhao,Chunyan Yu:
  Unsupervised Deep Adaptive Learning Spatial Reconstruction Network Based on Hyperspectral Data Fusion.IGARSS2024:9366-9369
• 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)
• 
  [c5]
  Dandan Zhang,Chenchao Xiao,Dandan Wei,Shuneng Liang,Yingjuan Wei,Kun Shang,Yao Liu:
  Product System Design and Application Mode Analysis of Ecological Restoration Project by China Natural Resource Landsat Satellite.IGARSS2022:4058-4061
• 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. Geoinformation102:102457 (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)

• 2017
• 
  [c4]
  Yao Liu,Wenjuan Zhang,Bing Zhang,Yingzhao Ma:
  A reflectance image simulation method for atmospheric absorption bands centered at 2.7 micron.IGARSS2017:4750-4753
• 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)
• 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.WHISPERS2015:1-4
• 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)
• 
  [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.IGARSS2014:1797-1800
• 2012
• 
  [c1]
  Yao Liu,Wenjuan Zhang,Bing Zhang:
  Analysis of surface radiance composition for absorption bands in middle-infrared regions.WHISPERS2012:1-4

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