Yongji Wang

Orcid: 0000-0002-9992-390X

Affiliations:
  • Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
  • Zhengzhou University, Zhengzhou, China


According to our database1, Yongji Wang authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2024
An Ecological Quality Evaluation of Large-Scale Farms Based on an Improved Remote Sensing Ecological Index.
Remote. Sens., February, 2024

2023
Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19.
ISPRS Int. J. Geo Inf., June, 2023

Research on Urban Vitality Changes in the Short Period of Time Before and After the Outbreak of the Epidemic - Taking Zhengzhou as an Example.
IEEE Access, 2023

2022
A Tourist Behavior Analysis Framework Guided by Geo-Information Tupu Theory and Its Application in Dengfeng City, China.
ISPRS Int. J. Geo Inf., 2022

Thematic Content and Visualization Strategy for Map Design of City-Specific Culture Based on Local Chronicles: A Case Study of Dengfeng City, China.
ISPRS Int. J. Geo Inf., 2022

Local Scale-Guided Hierarchical Region Merging and Further Over- and Under-Segmentation Processing for Hybrid Remote Sensing Image Segmentation.
IEEE Access, 2022

Automatic Identification of Street Trees With Improved RandLA-Net and Accurate Calculation of Shading Area With Density-Based Iterative α-Shape.
IEEE Access, 2022

2021
Double-Variance Measures: A Potential Approach to Parameter Optimization of Remote Sensing Image Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Exploration of Semantic Geo-Object Recognition Based on the Scale Parameter Optimization Method for Remote Sensing Images.
ISPRS Int. J. Geo Inf., 2021

2020
Hybrid Remote Sensing Image Segmentation Considering Intrasegment Homogeneity and Intersegment Heterogeneity.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
Remote Sensing-Guided Sampling Design with Both Good Spatial Coverage and Feature Space Coverage for Accurate Farm Field-Level Soil Mapping.
Remote. Sens., 2019

An Improved Hybrid Segmentation Method for Remote Sensing Images.
ISPRS Int. J. Geo Inf., 2019

Unsupervised segmentation parameter selection using the local spatial statistics for remote sensing image segmentation.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Unsupervised Segmentation Evaluation Using Area-Weighted Variance and Jeffries-Matusita Distance for Remote Sensing Images.
Remote. Sens., 2018

Region Merging Considering Within- and Between-Segment Heterogeneity: An Improved Hybrid Remote-Sensing Image Segmentation Method.
Remote. Sens., 2018


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