RANDOM FOREST AND OBJECTED-BASED CLASSIFICATION FOR FOREST PEST EXTRACTION FROM UAV AERIAL IMAGERY

16 citations as recorded by crossref.

1. Combining Object-Based Machine Learning with Long-Term Time-Series Analysis for Informal Settlement Identification A. Fallatah et al. https://doi.org/10.3390/rs14051226
2. A Detection Method for Individual Infected Pine Trees with Pine Wilt Disease Based on Deep Learning Y. Zhou et al. https://doi.org/10.3390/f13111880
3. PCA-RF model for Dendrolimus punctatus Walker damage detection Z. Xu et al. https://doi.org/10.1007/s11069-021-04503-4
4. Early-Stage Pine Wilt Disease Detection via Multi-Feature Fusion in UAV Imagery W. Xie et al. https://doi.org/10.3390/f15010171
5. Moving camera-based automated system for drone identification using focus measures B. Bhagat et al. https://doi.org/10.1007/s11760-023-02493-3
6. Mapping Commercial Forests Infected by the Novel Variant of Elsinoë masingae, Using Unmanned Aerial Technology in Southern Africa K. Peerbhay et al. https://doi.org/10.3390/f16060966
7. Multispectral UAV-based LULC mapping performance improvement by integrating precise NDSM data and machine learning algorithms I. Aydin & U. Sefercik https://doi.org/10.1007/s12145-025-01841-w
8. Improving RUSLE predictions through UAV-based soil cover management factor (C) assessments: A novel approach for enhanced erosion analysis in sugarcane fields F. Felix et al. https://doi.org/10.1016/j.jhydrol.2023.130229
9. Assessment of Antarctic moss health from multi-sensor UAS imagery with Random Forest Modelling D. Turner et al. https://doi.org/10.1016/j.jag.2018.01.004
10. A spatio-temporal multi-scale fusion algorithm for pine wood nematode disease tree detection C. Li et al. https://doi.org/10.1007/s11676-024-01754-2
11. Grass grub (Costelytra giveni) in improved grasslands detected by remote sensing data and machine learning approaches M. McNeill et al. https://doi.org/10.1016/j.atech.2025.101679
12. Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization J. Niyogisubizo et al. https://doi.org/10.1016/j.caeai.2022.100066
13. Distributed Control of Networked Unmanned Aerial Vehicles for Valley Area Coverage M. Shi & K. Qin https://doi.org/10.1155/2016/3680265
14. Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field J. Plaza et al. https://doi.org/10.1002/ps.6857
15. Object-based random forest classification for informal settlements identification in the Middle East: Jeddah a case study A. Fallatah et al. https://doi.org/10.1080/01431161.2020.1718237
16. High-Temporal-Resolution Forest Growth Monitoring Based on Segmented 3D Canopy Surface from UAV Aerial Photogrammetry W. Zhang et al. https://doi.org/10.3390/drones6070158