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pro vyhledávání: '"Gaydon, Charles"'
Mapping agencies are increasingly adopting Aerial Lidar Scanning (ALS) as a new tool to map buildings and other above-ground structures. Processing ALS data at scale requires efficient point classification methods that perform well over highly divers
Externí odkaz:
http://arxiv.org/abs/2405.04634
Autor:
Gaydon, Charles, Roche, Floryne
Knowledge of tree species distribution is fundamental to managing forests. New deep learning approaches promise significant accuracy gains for forest mapping, and are becoming a critical tool for mapping multiple tree species at scale. To advance the
Externí odkaz:
http://arxiv.org/abs/2404.12064