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Mengjun Kang
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2020 – today
- 2023
- [j10]Bozhao Li
, Mengqi Wang, Zhongliang Cai
, Shiliang Su, Mengjun Kang
:
VIS-MM: a novel map-matching algorithm with semantic fusion from vehicle-borne images. Int. J. Geogr. Inf. Sci. 37(5): 1069-1098 (2023) - [j9]Cheng Liu, Xinyang He, Shiliang Su, Mengjun Kang:
A graph-based method for Chinese address matching. Trans. GIS 27(3): 859-876 (2023) - 2022
- [j8]Mengjun Kang
, Yue Liu, Mengqi Wang, Lin Li
, Min Weng:
A random forest classifier with cost-sensitive learning to extract urban landmarks from an imbalanced dataset. Int. J. Geogr. Inf. Sci. 36(3): 496-513 (2022) - [j7]Mengqi Wang, Yinglin Wang, Bozhao Li, Zhongliang Cai
, Mengjun Kang:
A Population Spatialization Model at the Building Scale Using Random Forest. Remote. Sens. 14(8): 1811 (2022) - 2021
- [j6]Bozhao Li, Zhongliang Cai
, Mengjun Kang
, Shiliang Su, Shanshan Zhang, Lili Jiang, Yong Ge:
A trajectory restoration algorithm for low-sampling-rate floating car data and complex urban road networks. Int. J. Geogr. Inf. Sci. 35(4): 717-740 (2021) - 2020
- [j5]Yue Lin
, Mengjun Kang
, Yuyang Wu, Qingyun Du
, Tao Liu:
A deep learning architecture for semantic address matching. Int. J. Geogr. Inf. Sci. 34(3): 559-576 (2020) - [j4]Aini Zhong, Yukun Wu, Ke Nie, Mengjun Kang:
Using Local Toponyms to Reconstruct the Historical River Networks in Hubei Province, China. ISPRS Int. J. Geo Inf. 9(5): 318 (2020)
2010 – 2019
- 2019
- [j3]Yue Lin
, Yuyang Cai, Yue Gong, Mengjun Kang, Lin Li
:
Extracting urban landmarks from geographical datasets using a random forests classifier. Int. J. Geogr. Inf. Sci. 33(12): 2406-2423 (2019) - 2018
- [j2]Shaoyi Wang, Zhongjie Sheng, Yuliang Xi, Xiangyuan Ma
, Huihui Zhang
, Mengjun Kang
, Fu Ren, Qingyun Du
, Ke Hu, Zhenbiao Han:
The Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in Tianjin. ISPRS Int. J. Geo Inf. 7(2): 50 (2018) - 2017
- [j1]Min Weng, Qin Xiong, Mengjun Kang
:
Salience Indicators for Landmark Extraction at Large Spatial Scales Based on Spatial Analysis Methods. ISPRS Int. J. Geo Inf. 6(3): 72 (2017)
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