Работы, цитирующие эту работу

Работ: 2

Работа: 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

   СтатьяLand Use and Ecosystem ServicesInterCarto InterGIS2025Цитирований: 0

   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

   СтатьяRemote Sensing in AgricultureVestnik of North-Eastern Federal University Series Earth Sciences2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.010530