SENTINEL-1 IMAGE CLASSIFICATION FOR CITY EXTRACTION BASED ON THE SUPPORT VECTOR MACHINE AND RANDOM FOREST ALGORITHMS

5 citations as recorded by crossref.

1. Land use land cover modeling using optimized machine learning classifiers: a case study of Shiraz, Iran A. Jamali https://doi.org/10.1007/s40808-020-00859-x
2. Land use land cover mapping using advanced machine learning classifiers: A case study of Shiraz city, Iran A. Jamali https://doi.org/10.1007/s12145-020-00475-4
3. Roughness prediction using machine learning models in hard turning: an approach to avoid rework and scrap L. de Souza et al. https://doi.org/10.1007/s00170-024-13951-8
4. Landslide hazard risk modeling in north-west of Iran using optimized machine learning models A. Jamali https://doi.org/10.1007/s40808-020-00871-1
5. Assessing deforestation and degradation risks in Pakistan (2001–2021): A machine learning and remote sensing perspective M. Ansari et al. https://doi.org/10.1016/j.eti.2025.104539