王永吉，男，1992年生，讲师，硕士生导师，毕业于中国科学院大学（中国科学院地理科学与资源研究所）地图学与地理信息系统专业，主要研究方向为遥感智能解译与数字地图，内容涵盖遥感图像分割、空间采样、数据质量评估、机器学习等方面，主讲课程为《数字地图制图》、《多元地理时空统计与分析》。联系方式：wangyongji@zzu.edu.cn。
主要科研项目情况：
1. 河南省科技攻关项目：数据质量控制下的土壤采样方法及应用研究，242102111194，主持
2. 河南省高等学校重点科研项目应用研究计划：顾及地理空间和特征空间覆盖度的土壤采样方案设计及应用研究，25A170010，主持
3. 河南省高等学校重点科研项目基础研究计划：基于局部空间异质性的土壤样本潜在异常值识别方法研究，22A170021，主持
4. 国家自然科学基金委员会国际（地区）合作与交流项目：气候变化下的北半球地表水和地下水相互作用及水资源可利用性：从中纬度干旱到高纬度多年冻土湿润流域，W2412055，参与
科研成果：
[1] Wang Yongji, Yang Mingjun, Wang Meizi, et al. A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets [J]. Geoderma, 2025, 454: 117200.
[2] Wang Yongji, Li Shaoqi, Wang Meizi, Qi Qingwen, Li Peng. A novel sampling design that considers local soil heterogeneity in both geographical and feature spaces for mapping multiple soil properties at the farm level, IEEE Access, 2025, 14:424-440.
[3] Wang Jun, Jiang Lili, Qi Qingwen, Wang Yongji. An Ecological Quality Evaluation of Large-Scale Farms Based on an Improved Remote Sensing Ecological Index, Remote Sensing, 2024, 16(4):684.
[4] Wang Yongji, Qi Qingwen, Zhou Lin, Wang Meizi*, Wang Qinqin, Wang Jun, " Recognition of potential outliers in soil datasets from the perspective of geographical context for improving farm-level soil mapping accuracies", Geoderma, 2023, 431: 116374.
[5] Wang Yongji, Qi Qingwen, Bao Zhengyi*, Wu Lili, Geng Qingling, and Wang Jun, "A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties", Precision Agriculture, 2023, 24(1): 1-22.
[6] Wu Lili, Liu Yi, Liu Kuo, Wang Yongji*, Tian Zhihui. Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19, ISPRS International Journal of Geo-Information, 2023, 12(6):243.
[7] Tian Zhihui, Zhang Ruoyi, Wu Lili, Wang Yongji, Yang Jinjin, Cao Di. Spatiotemporal Evaluation of Water Resource Vulnerability in Four River Basins of Henan Province, China, Water, 2023, 16(1): 149.
[8] Wu Lili, Yang Jinjin, Tian Zhihui, Wang Yongji, Zhang Ruoyi, Cao Di. 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, 99:1-1.
[9] Wang Yongji, Wu Lili*, Qi Qingwen, and Wang Jun, "Local Scale-Guided Hierarchical Region Merging and Further Over- and Under-Segmentation Processing for Hybrid Remote Sensing Image Segmentation", IEEE Access, vol. 10, pp. 81492-81505, 2022.
[10] Tian Zhihui, Liu Yi, Wang Yongji*, and Wu Lili, "A Tourist Behavior Analysis Framework Guided by Geo-Information Tupu Theory and Its Application in Dengfeng City, China," ISPRS International Journal of Geo-Information, vol. 11, no. 4, 2022.
[11] He Xiaohui, Liu Chuan, Wu Lili, Wang Yongji, Tian Zhihui. Thematic Content and Visualization Strategy for Map Design of City-Specific Culture Based on Local Chronicles: A Case Study of Dengfeng City, China. ISPRS International Journal of Geo-Information, 2022, 11(11): 542.
[12] Wang Jun, Jiang Lili, Qi Qingwen, Wang Yongji. Exploration of Semantic Geo-Object Recognition Based on the Scale Parameter Optimization Method for Remote Sensing Images, ISPRS International Journal of Geo-Information, 2021, 10(6): 420.
[13] Wang Yongji*, Tian Zhihui, Qi Qingwen, and Wang Jun, "Double-Variance Measures: A Potential Approach to Parameter Optimization of Remote Sensing Image Segmentation," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 2314-2326, 2021.
[14] Wang Yongji, Qi Qingwen, Jiang Lili, Ying Liu. Hybrid Remote Sensing Image Segmentation Considering Intrasegment Homogeneity and Intersegment Heterogeneity [J], IEEE Geoscience and Remote Sensing Letters, 2020, 17(1):22-26.
[15] Wang yongji, Jiang lili*, Qi Qingwen, Liu Ying, Jun Wang. Remote Sensing-Guided Sampling Design with Both Good Spatial Coverage and Feature Space Coverage for Accurate Farm Field-Level Soil Mapping [J], Remote Sensing, 2019, 11(16): 1946.
[16] Wang Yongji, Qi Qingwen, Liu Ying, Jiang Lili, Wang Jun. Unsupervised segmentation parameter selection using the local spatial statistics for remote sensing image segmentation [J], International Journal of Applied Earth Observation and Geoinformation, 2019, 81:98-109.
[17] Wang Jun, Jiang Lili, Wang Yongji, Qi Zhanfeng. An Improved Hybrid Segmentation Method for Remote Sensing Images, ISPRS International Journal of Geo-Information, 2019, 8(12):543.
[18] Wang Yongji, Meng Qingyan, Qi Qingwen, Yang Jian, Liu Ying. Region Merging Considering Within- and Between-Segment Heterogeneity: An Improved Hybrid Remote-Sensing Image Segmentation Method [J], Remote Sensing, 2018, 10(5): 781.
[19] Wang Yongji, Qi Qingwen, Liu Ying. Unsupervised Segmentation Evaluation Using Area-Weighted Variance and Jeffries-Matusita Distance for Remote Sensing Images [J], Remote Sensing, 2018, 10(8): 1193.
[20] 刘莹,孟庆岩,王永吉,杨健,刘洪杰,孙震辉.基于特征优选与支持向量机的不透水面覆盖度估算方法[J].地理与地理信息科学,2018,34(01):24-31+3.
[21] 王永吉,孟庆岩,杨健,孙云晓,李鹏,邢武杰.一种基于特征选择的面向对象遥感影像分类方法[J].科学技术与工程,2016,16(32):107-113.
[22] 齐清文，王永吉。基于三阶段k-means的农田土壤采样方案设计方法，2022（发明专利）
[23] 孟庆岩，王永吉，杨健，孙震辉。一种结合改进快速合并算法的分水岭分割方法，2021（发明专利）
