Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case

The proliferation of high-resolution remote sensing sensors and platforms imposes the need for effective analyses and automated processing of high volumes of aerial imagery. The recent advance of artificial intelligence (AI) in the form of deep learning (DL) and convolutional neural networks (CNN) s...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолч:	Aleksandar Milosavljević
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2020-08-01
Цуврал:	ISPRS International Journal of Geo-Information
Нөхцлүүд:	remote sensing imagery deep learning semantic segmentation building extraction convolutional neural networks
Онлайн хандалт:	https://www.mdpi.com/2220-9964/9/8/486
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!