World's Best Scientists 2026 revealed!
Mingsheng Liao

Mingsheng Liao

D-Index & Metrics

Computer Science

D-Index
40
Citations
5342
World Ranking
9425
National Ranking
1197

Overview

Mingsheng Liao is affiliated with Wuhan University in China and has an extensive publication record across several interconnected scientific disciplines. Their research predominantly focuses on engineering, earth and planetary sciences, and environmental science, with notable subfields including aerospace engineering, atmospheric science, management, monitoring, policy and law, geophysics, and environmental engineering.

The main research themes covered in their work comprise Synthetic Aperture Radar (SAR) applications and techniques, cryospheric studies and observations, landslides and related hazards, advanced SAR imaging techniques, earthquake and tectonic studies, earthquake detection and analysis, and geophysical methods and applications.

Frequent coauthors in Liao's research include:

  • Lu Zhang
  • Jie Dong
  • Yian Wang
  • Hua Gao
  • Guangcai Feng

Their work appears commonly in the following publication venues:

  • Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • Remote Sensing of Environment
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Selected recent papers authored or coauthored by Mingsheng Liao include:

  • "Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event" (2020), published in Remote Sensing of Environment
  • "Land subsidence and rebound in the Taiyuan basin, northern China, in the context of inter-basin water transfer and groundwater management" (2021), published in Remote Sensing of Environment
  • "Remote Sensing Image Semantic Segmentation Based on Edge Information Guidance" (2020), published in Remote Sensing
  • "Multi-scale deformation monitoring with Sentinel-1 InSAR analyses along the Middle Route of the South-North Water Diversion Project in China" (2021), published in International Journal of Applied Earth Observation and Geoinformation
  • "Displacement history and potential triggering factors of Baige landslides, China revealed by optical imagery time series" (2020), published in Remote Sensing of Environment

Best Publications

  • Using SAR Images to Detect Ships From Sea Clutter

    Mingsheng Liao;Changcheng Wang;Yong Wang;Liming Jiang

  • Mapping landslide surface displacements with time series SAR interferometry by combining persistent and distributed scatterers: A case study of Jiaju landslide in Danba, China

    Jie Dong;Lu Zhang;Minggao Tang;Mingsheng Liao

  • Building-damage detection using post-seismic high-resolution SAR satellite data

    Timo Balz;Mingsheng Liao

  • Ship Detection in SAR Image Based on the Alpha-stable Distribution.

    Changcheng Wang;Mingsheng Liao;Xiaofeng Li

  • Three Gorges Dam stability monitoring with time-series InSAR image analysis

    Teng Wang;Daniele Perissin;Fabio Rocca;Ming-Sheng Liao

  • Detection and displacement characterization of landslides using multi-temporal satellite SAR interferometry: A case study of Danba County in the Dadu River Basin

    Jie Dong;Mingsheng Liao;Qiang Xu;Lu Zhang

  • Texture Classification of PolSAR Data Based on Sparse Coding of Wavelet Polarization Textons

    Chu He;Shuang Li;Zixian Liao;Mingsheng Liao

  • Landslide deformation monitoring using point-like target offset tracking with multi-mode high-resolution TerraSAR-X data

    Xuguo Shi;Lu Zhang;Timo Balz;Mingsheng Liao

  • Measuring precursory movements of the recent Xinmo landslide in Mao County, China with Sentinel-1 and ALOS-2 PALSAR-2 datasets

    Jie Dong;Lu Zhang;Menghua Li;Yanghai Yu

  • Landslide monitoring with high-resolution SAR data in the Three Gorges region

    MingSheng Liao;Jing Tang;Teng Wang;Timo Balz

  • Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event

    Menghua Li;Lu Zhang;Chao Ding;Weile Li

  • Improved correction of seasonal tropospheric delay in InSAR observations for landslide deformation monitoring

    Jie Dong;Lu Zhang;Mingsheng Liao;Jianya Gong

  • InSAR Coherence-Decomposition Analysis

    Teng Wang;Mingsheng Liao;D. Perissin

  • Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks

    Peraya Tantianuparp;Xuguo Shi;Lu Zhang;Timo Balz

  • Land subsidence and rebound in the Taiyuan basin, northern China, in the context of inter-basin water transfer and groundwater management

    Wei Tang;Xiangjun Zhao;Mahdi Motagh;Gang Bi

  • Wide-Area Landslide Deformation Mapping with Multi-Path ALOS PALSAR Data Stacks: A Case Study of Three Gorges Area, China

    Xuguo Shi;Mingsheng Liao;Menghua Li;Lu Zhang

  • Remote Sensing Image Semantic Segmentation Based on Edge Information Guidance

    Chu He;Shenglin Li;Dehui Xiong;Peizhang Fang

  • Structural Health and Stability Assessment of High-Speed Railways via Thermal Dilation Mapping With Time-Series InSAR Analysis

    Xiaoqiong Qin;Mingsheng Liao;Lu Zhang;Mengshi Yang

  • Learning Based Compressed Sensing for SAR Image Super-Resolution

    Chu He;Longzhu Liu;Lianyu Xu;Ming Liu

  • Urban Change Detection Based on Coherence and Intensity Characteristics of SAR Imagery

    Mingsheng Liao;Liming Jiang;Hui Lin;Bo Huang

  • Analysis of the water volume, length, total area and inundated area of the Three Gorges Reservoir, China using the SRTM DEM data

    Y. Wang;M. Liao;G. Sun;J. Gong

  • Quantifying Sub-pixel Urban Impervious Surface through Fusion of Optical and InSAR Imagery

    Limin Yang;Liming Jiang;Hui Lin;Mingsheng Liao

  • Mapping surface deformation and thermal dilation of arch bridges by structure-driven multi-temporal DInSAR analysis

    Xiaoqiong Qin;Xiaoqiong Qin;Lu Zhang;Mengshi Yang;Mengshi Yang;Heng Luo

  • Spatio-Temporal Characterization of a Reclamation Settlement in the Shanghai Coastal Area with Time Series Analyses of X-, C-, and L-Band SAR Datasets

    Mengshi Yang;Tianliang Yang;Lu Zhang;Jinxin Lin

Frequent Co-Authors

Deren Li
Deren Li Wuhan University
Jianya Gong
Jianya Gong Wuhan University
Hui Lin
Hui Lin Jiangxi Normal University
Fabio Rocca
Fabio Rocca Polytechnic University of Milan
Stefano Tebaldini
Stefano Tebaldini Polytechnic University of Milan
Xiaoli Ding
Xiaoli Ding Hong Kong Polytechnic University
Qiang Xu
Qiang Xu Chengdu University of Technology
Gui-Song Xia
Gui-Song Xia Wuhan University
Ramon F. Hanssen
Ramon F. Hanssen Delft University of Technology
Guangcai Feng
Guangcai Feng Central South University

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