Работы, цитирующие эту работу

Работ: 2

Работа: Random forest classifier for remote sensing classification

1. Sugarcane Mapping and Harvest Monitoring using ML and Google Earth Engine

   Ala Ud Din Awan, Muhammad Hasan Mustafa, Ali Abdul Razzaq Al Tahir +3

   СтатьяSugarcane Cultivation and ProcessingE3S Web of Conferences2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.008885

2. 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