YOLOv11-MDD: YOLOv11 in an Encoder–Decoder Architecture for Multi-Label Post-Wildfire Damage Detection—A Case Study of the 2023 US and Canada Wildfires

Natural disasters occur worldwide and cause significant financial and human losses. Wildfires are among the most important natural disasters, occurring more frequently in recent years due to global warming. Fast and accurate post-disaster damage detection could play an essential role in swift rescue...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Masoomeh Gomroki, Negar Zahedi, Majid Jahangiri, Bahareh Kalantar, Husam Al-Najjar
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2026-01-01
Цуврал:	Remote Sensing
Нөхцлүүд:	multilabel damage detection encoder–decoder architecture Yolov11 Modified Unet (MUNet) wildfire
Онлайн хандалт:	https://www.mdpi.com/2072-4292/18/2/280
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!