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Cited by in F6Publishing
For: Guo Q, Zhang J, Guo S, Ye Z, Deng H, Hou X, Zhang H. Urban Tree Classification Based on Object-Oriented Approach and Random Forest Algorithm Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery. Remote Sensing 2022;14:3885. [DOI: 10.3390/rs14163885] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Mollick T, Azam MG, Karim S. Geospatial-based machine learning techniques for land use and land cover mapping using a high-resolution unmanned aerial vehicle image. Remote Sensing Applications: Society and Environment 2022. [DOI: 10.1016/j.rsase.2022.100859] [Reference Citation Analysis]
2 Xia J, Wang Y, Dong P, He S, Zhao F, Luan G. Object-Oriented Canopy Gap Extraction from UAV Images Based on Edge Enhancement. Remote Sensing 2022;14:4762. [DOI: 10.3390/rs14194762] [Reference Citation Analysis]
3 Deng H, Wu X, Zhang W, Liu Y, Li W, Li X, Zhou P, Zhuo W. Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas. Remote Sensing 2022;14:4245. [DOI: 10.3390/rs14174245] [Cited by in F6Publishing: 1] [Reference Citation Analysis]