Двадцать первая международная конференция "СОВРЕМЕННЫЕ ПРОБЛЕМЫ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ ИЗ КОСМОСА"
XXI..550
Novel deep learning and remote sensing approaches in environmental applications
José Marcato Junior (1)
(1) Federal University of Mato Grosso do Sul, Campo Grande, Brasil
In my lecture, I will discuss various aspects of how artificial intelligence can significantly enhance accurate mapping through remote sensing data from different platforms, including UAV, and orbital sources. I will introduce a range of strategies aimed at optimizing outcomes and enabling the development of generalized deep-learning models. Additionally, I will explore techniques for reducing the reliance on labeled data and will showcase practical results in the context of environmental applications and precision agriculture.
Ключевые слова: deep learning, remote sensing
XIX Международная научная Школа-конференция молодых ученых по фундаментальным проблемам дистанционного зондирования Земли из космоса
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