Работы, цитирующие эту работу

Работ: 5

Работа: Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

1. Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture

   Furkat Safarov, Kuchkorov Temurbek, Djumanov Jamoljon +4

   СтатьяRemote-Sensing Image ClassificationSensors2022Цитирований: 8

   ABIABI:AkademIndex/openalex/2026.other.021215

2. Classification of seasonal dynamics of soil moisture according to satellite data Sentinel-2, Jizzakh region, Uzbekistan

   Sanjar Rakhmonov, А. А. Хайдаров, Kanat Samarkhanov +3

   СтатьяEngineering and Agricultural InnovationsE3S Web of Conferences2023Цитирований: 1

   ABIABI:AkademIndex/openalex/2023.article.003137

3. Self-supervised learning for joint SAR and multispectral land cover classification

   Antonio Montanaro, Diego Valsesia, Giulia Fracastoro +1

   ПрепринтRemote-Sensing Image ClassificationarXiv (Cornell University)2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000063

4. Assessment of Vegetation and Soil Characteristics of Calligonum Leucocladum Populations in the Balkhash Region, Kazakhstan

   Alibek Ydyrys, Мaral Mussina, Saltanat Nazarbekova +10

   ПрепринтPharmacological Effects of Natural CompoundsResearch Square2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.preprint.000064

5. Assessing and detecting spatiotemporal land use/cover changes in Uzbekistan using sentinel-2 imageries

   Oybek Mamarakhimov, Rano Rustamova, Dilmurod Khushbakov +9

   СтатьяEngineering and Agricultural InnovationsBIO Web of Conferences2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.006870