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

15 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.
2. A Detection Method for Individual Infected Pine Trees with Pine Wilt Disease Based on Deep Learning Y. Zhou et al.
3. PCA-RF model for Dendrolimus punctatus Walker damage detection Z. Xu et al.
4. Early-Stage Pine Wilt Disease Detection via Multi-Feature Fusion in UAV Imagery W. Xie et al.
5. Moving camera-based automated system for drone identification using focus measures B. Bhagat et al.
6. Mapping Commercial Forests Infected by the Novel Variant of Elsinoë masingae, Using Unmanned Aerial Technology in Southern Africa K. Peerbhay et al.
7. Multispectral UAV-based LULC mapping performance improvement by integrating precise NDSM data and machine learning algorithms I. Aydin & U. Sefercik
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.
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10. A spatio-temporal multi-scale fusion algorithm for pine wood nematode disease tree detection C. Li et al.
11. Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization J. Niyogisubizo et al.
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13. Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field J. Plaza et al.
14. Object-based random forest classification for informal settlements identification in the Middle East: Jeddah a case study A. Fallatah et al.
15. High-Temporal-Resolution Forest Growth Monitoring Based on Segmented 3D Canopy Surface from UAV Aerial Photogrammetry W. Zhang et al.