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pro vyhledávání: '"Wanyan, Xinye"'
Autor:
Wanyan, Xinye, Seneviratne, Sachith, Nice, Kerry, Thompson, Jason, White, Marcus, Langenheim, Nano, Stevenson, Mark
Footpath mapping, modeling, and analysis can provide important geospatial insights to many fields of study, including transport, health, environment and urban planning. The availability of robust Geographic Information System (GIS) layers can benefit
Externí odkaz:
http://arxiv.org/abs/2309.09446
In recent decades, wildfires, as widespread and extremely destructive natural disasters, have caused tremendous property losses and fatalities, as well as extensive damage to forest ecosystems. Many fire risk assessment projects have been proposed to
Externí odkaz:
http://arxiv.org/abs/2303.07035
Since large number of high-quality remote sensing images are readily accessible, exploiting the corpus of images with less manual annotation draws increasing attention. Self-supervised models acquire general feature representations by formulating a p
Externí odkaz:
http://arxiv.org/abs/2303.06670
Due to the costly nature of remote sensing image labeling and the large volume of available unlabeled imagery, self-supervised methods that can learn feature representations without manual annotation have received great attention. While prior works h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94e6eafe84346c756759bf67f0296237
http://arxiv.org/abs/2303.06670
http://arxiv.org/abs/2303.06670