Работы, цитирующие эту работу

Работ: 2

Работа: Dense Fusion Classmate Network for Land Cover Classification

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. Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery

   Mauro Martini, Vittorio Mazzia, Aleem Khaliq +1

   ПрепринтRemote Sensing in AgricultureRemote Sensing2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000033