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Min-Jhen Chang

Datos Biográficos

ID9965773
NOMBREMin-Jhen Chang
NOMBRESMin-Jhen
APELLIDOChang
FIRMACHANG M
AFILIACIONESFeng Chia University
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS0
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Automatic Vehicle Trajectory Behavior Classification Based on Unmanned Aerial Vehicle-Derived Trajectories Using Machine Learning Techniques

    Open Access•Tee-Ann Teo, Tee‐Ann Teo et al.•ARTICLE•ISPRS International Journal of…•2024

    This study introduces an innovative scheme for classifying uncrewed aerial vehicle (UAV)-derived vehicle trajectory behaviors by employing machine learning (ML) techniques to transform original trajectories into various sequences: space–time, speed–time, and azimuth–time. These transformed sequences were subjected to normalization for uniform data analysis, facilitating the classification of trajectories into six distinct categories through the a…

  • A Technical and Operational Perspective on Quality Analysis of Stitching Images with Multi-Row Panorama and Multimedia Sources for Visualizing the Tourism Site of Onshore Wind Farm

    Open Access•Jhe-Syuan Lai, Yi-Hung Tsai et al.•ARTICLE•ISPRS International Journal of…•2022

    A virtual tour of the onshore wind farm near Gaomei Wetland, Taichung City, Taiwan, was produced by producing panoramic images of the site by stitching images captured with a full-frame digital single-lens reflex camera and a multi-row panorama instrument, which automatically and precisely divided each scene into several images. Subsequently, the image stitching quality was improved by calculating the root mean square error (RMSE) of tie point ma…

  • Panoramic Mapping with Information Technologies for Supporting Engineering Education

    Open Access•Jhe-Syuan Lai, Yu-Chi Peng et al.•ARTICLE•ISPRS International Journal of…•2020

    The present researchers took multistation-based panoramic images and imported the processed images into a virtual tour platform to create webpages and a virtual reality environment. The integrated multimedia platform aims to assist students in a surveying practice course. A questionnaire survey was conducted to evaluate the platform’s usefulness to students, and its design was modified according to respondents’ feedback. Panoramic photos were tak…

Sin obras prominentes en esta página.

  • Panoramic Mapping with Information Technologies for Supporting Engineering Education

    Open Access•Jhe-Syuan Lai, Yu-Chi Peng et al.•ARTICLE•ISPRS International Journal of…•2020

    The present researchers took multistation-based panoramic images and imported the processed images into a virtual tour platform to create webpages and a virtual reality environment. The integrated multimedia platform aims to assist students in a surveying practice course. A questionnaire survey was conducted to evaluate the platform’s usefulness to students, and its design was modified according to respondents’ feedback. Panoramic photos were tak…

  • A Technical and Operational Perspective on Quality Analysis of Stitching Images with Multi-Row Panorama and Multimedia Sources for Visualizing the Tourism Site of Onshore Wind Farm

    Open Access•Jhe-Syuan Lai, Yi-Hung Tsai et al.•ARTICLE•ISPRS International Journal of…•2022

    A virtual tour of the onshore wind farm near Gaomei Wetland, Taichung City, Taiwan, was produced by producing panoramic images of the site by stitching images captured with a full-frame digital single-lens reflex camera and a multi-row panorama instrument, which automatically and precisely divided each scene into several images. Subsequently, the image stitching quality was improved by calculating the root mean square error (RMSE) of tie point ma…

  • Automatic Vehicle Trajectory Behavior Classification Based on Unmanned Aerial Vehicle-Derived Trajectories Using Machine Learning Techniques

    Open Access•Tee-Ann Teo, Tee‐Ann Teo et al.•ARTICLE•ISPRS International Journal of…•2024

    This study introduces an innovative scheme for classifying uncrewed aerial vehicle (UAV)-derived vehicle trajectory behaviors by employing machine learning (ML) techniques to transform original trajectories into various sequences: space–time, speed–time, and azimuth–time. These transformed sequences were subjected to normalization for uniform data analysis, facilitating the classification of trajectories into six distinct categories through the a…

Artificial Intelligence (3 obras) · Computer Science (3 obras) · Mathematics (3 obras) · 3D Surveying and Cultural Heritage (2 obras) · Advanced Image and Video Retrieval Techniques (2 obras) · Advanced Vision and Imaging (2 obras) · Computer vision (2 obras) · Image stitching (2 obras) · Panorama (2 obras) · Autonomous Vehicle Technology and Safety (1 obra)

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