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Sergii Skakun

2 accepted papers

2023

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics

AAAI 2023technical

Cloud masking is both a fundamental and a critical task in the vast majority of Earth observation problems across social sectors, including agriculture, energy, water, etc. The sheer volume of satellite imagery to be processed has fast-climbed to a scale (e.g., >10 PBs/year) that is prohibitive for…

Cited by 12SourcePDFScholar
2023

Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery

AAAI 2023technical

Despite improvements in safe water and sanitation services in low-income countries, a substantial proportion of the population in Africa still does not have access to these essential services. Up-to-date fine-scale maps of low-income settlements are urgently needed by authorities to improve service…

Cited by 14SourcePDFScholar