Works citing this work

2 works

Work: Support vector machines in remote sensing: A review

1. Comparative analysis of Random Forest and Support Vector Machine for LULC classification in Tashkent Region using Landsat-8 imagery

   Nuriddin Mirjalalov, Nozimjon Teshaev, Eshkabul Safarov +3

   ArticleLand Use and Ecosystem ServicesInterCarto InterGIS20250 citations

   ABIABI:AkademIndex/openalex/2025.article.017094

2. Monitoring forest fund lands using remote sensing combined with CollectEarth point data

   S. M. Muratov, D. Sh. Fazilova

   ArticleRemote Sensing in AgricultureVestnik of North-Eastern Federal University Series Earth Sciences20260 citations

   ABIABI:AkademIndex/openalex/2026.article.010530