COMPARISON OF SEVERAL REMOTE SENSING IMAGE CLASSIFICATION METHODS BASED ON ENVI

11 citations as recorded by crossref.

1. Multispectral data mining: A focus on remote sensing satellite images S. Lim et al. https://doi.org/10.1002/widm.1522
2. Classification of Land Cover in Sentinel-2 Imagery Using Machine Learning Models E. Al-Zubaidi et al. https://doi.org/10.55810/2313-0083.1122
3. Spatial and Seasonal Change Detection in Vegetation Cover Using Time-Series Landsat Satellite Images and Machine Learning Methods A. Mullapudi et al. https://doi.org/10.1007/s42979-023-01710-7
4. Detection of illegal wells using advanced GIS analysis through Landsat 8 and Sentinel-2 image fusion in Bastam, Iran A. Sassani et al. https://doi.org/10.1038/s41598-025-91188-5
5. Application of UAV remote sensing for vegetation identification: a review and meta-analysis B. Chang et al. https://doi.org/10.3389/fpls.2025.1452053
6. A New and Robust Index for Water Body Extraction from Sentinel-2 Imagery Z. Su et al. https://doi.org/10.3390/rs16152749
7. Applying open-source remote sensing data to quantify artisanal mine site evolution in the Democratic Republic of the Congo A. Van Winkle et al. https://doi.org/10.1016/j.rsase.2026.102172
8. Modeling Ontology-Based Decay Analysis and HBIM for the Conservation of Architectural Heritage: The Big Gate and Adjacent Curtain Walls in Ibb, Yemen B. Dammag et al. https://doi.org/10.3390/buildings15152795
9. Estimation of Pb and Cd Content in Soil Using Sentinel-2A Multispectral Images Based on Ensemble Learning H. Yu et al. https://doi.org/10.3390/rs15092299
10. Land Cover Change and Water Quality: How Remote Sensing Can Help Understand Driver–Impact Relations in the Lake Titicaca Basin A. Baltodano et al. https://doi.org/10.3390/w14071021
11. Tracking coral loss in the Spermonde Archipelago of Indonesia: 32 years of satellite monitoring from 1990 to 2022 N. Nurdin et al. https://doi.org/10.1080/01431161.2023.2268823