World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7809
World Ranking
8786
National Ranking
3756

Overview

Jie Shan is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the field of Engineering, with a particular focus on several subfields and specialized topics.

The main subfields of study Jie Shan has contributed to include:

  • Atomic and Molecular Physics, and Optics
  • Environmental Engineering
  • Geology
  • Materials Chemistry
  • Computer Vision and Pattern Recognition

Their work covers various main topics, notably:

  • Remote Sensing and LiDAR Applications
  • 3D Surveying and Cultural Heritage
  • Quantum and electron transport phenomena
  • Robotics and Sensor-Based Localization
  • 2D Materials and Applications
  • Topological Materials and Phenomena
  • Forest ecology and management

Jie Shan has published extensively in several academic venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers by Jie Shan detail their engagement with remote sensing technologies, 3D modeling, and detection techniques. Some representative publications are:

  • "RANSAC-based multi primitive building reconstruction from 3D point clouds", 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Comprehensive Evaluation of the ICESat-2 ATL08 Terrain Product", 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China", 2020, Complexity
  • "Optimal Model Fitting for Building Reconstruction From Point Clouds", 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Detection and Tracking of Pedestrians Using Doppler LiDAR", 2021, Remote Sensing

Jie Shan collaborates frequently with a group of co-authors including:

  • Takashi Taniguchi
  • Kin Fai Mak
  • Kenji Watanabe
  • Kaifei Kang
  • Fayez Tarsha Kurdi

This profile presents Jie Shan as an active contributor to research in engineering disciplines related to remote sensing, photogrammetry, and environmental applications. Their interdisciplinary approach spans physical sciences and advanced sensing techniques, demonstrated through numerous publications and partnerships in high-impact scientific venues.

Best Publications

  • Topographic laser ranging and scanning : principles and processing

    Jie Shan;Charles K. Toth

  • Graph Attention Convolution for Point Cloud Semantic Segmentation

    Lei Wang;Yuchun Huang;Yaolin Hou;Shenman Zhang

  • Principal Component Analysis for Hyperspectral Image Classification

    Craig Rodarmel;Jie Shan

  • A comprehensive review of earthquake-induced building damage detection with remote sensing techniques

    Laigen Dong;Jie Shan;Jie Shan

  • Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds

    A. Sampath;Jie Shan

  • Building boundary tracing and regularization from airborne lidar point clouds

    Aparajithan Sampath;Jie Shan

  • CLASS-GUIDED BUILDING EXTRACTION FROM IKONOS IMAGERY

    D. Scott Lee;Jie Shan;James S. Bethel

  • Urban DEM generation from raw lidar data: A labeling algorithm and its performance

    Jie Shan;Sampath Aparajithan

  • A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences

    Yuanxin Ye;Yuanxin Ye;Jie Shan;Jie Shan

  • Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity

    Yuanxin Ye;Jie Shan;Lorenzo Bruzzone;Li Shen

  • A hybrid approach for detecting corn and soybean phenology with time-series MODIS data

    Linglin Zeng;Brian D. Wardlow;Rui Wang;Jie Shan

  • Building population mapping with aerial imagery and GIS data

    Serkan Ural;Ejaz Hussain;Jie Shan

  • RANSAC-based multi primitive building reconstruction from 3D point clouds

    Unknown

  • Investigation on the Weighted RANSAC Approaches for Building Roof Plane Segmentation from LiDAR Point Clouds

    Bo Xu;Wanshou Jiang;Jie Shan;Jing Zhang

  • Building roof modeling from airborne laser scanning data based on level set approach

    KyoHyouk Kim;Jie Shan

  • Road Centerline Extraction in Complex Urban Scenes From LiDAR Data Based on Multiple Features

    Xiangyun Hu;Yijing Li;Jie Shan;Jianqing Zhang

  • A global optimization approach to roof segmentation from airborne lidar point clouds

    Jixing Yan;Jie Shan;Jie Shan;Wanshou Jiang

  • Geomatics for Smart Cities - Concept, Key Techniques,and Applications

    Deren Li;Jie Shan;Zhenfeng Shao;Xiran Zhou

  • SEGMENTATION OF LIDAR POINT CLOUDS FOR BUILDING EXTRACTION

    Jun Wang;Jie Shan

  • Fuzzy inference guided cellular automata urban-growth modelling using multi-temporal satellite images

    S. Al-kheder;J. Wang;J. Shan

  • Combining Lidar Elevation Data and IKONOS Multispectral Imagery for Coastal Classification Mapping

    D. Scott Lee;Jie Shan

  • A local phase based invariant feature for remote sensing image matching

    Yuanxin Ye;Jie Shan;Siyuan Hao;Lorenzo Bruzzone

  • Performance evaluation for pan-sharpening techniques

    Qian Du;O. Gungor;Jie Shan

Frequent Co-Authors

Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Randolph L. Kirk
Randolph L. Kirk United States Geological Survey
Frank Scholten
Frank Scholten German Aerospace Center
Jan-Peter Muller
Jan-Peter Muller University College London
Gerhard Neukum
Gerhard Neukum Freie Universität Berlin
Christian Heipke
Christian Heipke University of Hannover
Deren Li
Deren Li Wuhan University
Jianya Gong
Jianya Gong Wuhan University
Michael J. Hayes
Michael J. Hayes University of Nebraska–Lincoln
Brian D. Wardlow
Brian D. Wardlow University of Nebraska–Lincoln

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