An Encoder–Decoder Deep Learning Framework for Building Footprints Extraction from Aerial Imagery

Building footprints segmentation in high-resolution satellite images has wide range of applications in disaster management, land cover analysis and urban planning. However, automatic extraction of building footprints offers many challenges due to large variations in building sizes, complex structure...

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Vydané v:	Arabian journal for science and engineering (2011) Ročník 48; číslo 2; s. 1273 - 1284
Hlavní autori:	Khan, Sultan Daud, Alarabi, Louai, Basalamah, Saleh
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023 Springer Nature B.V
Predmet:	Buildings Coders Datasets Deep learning Disaster management Engineering Humanities and Social Sciences Image resolution Image segmentation Land cover multidisciplinary Pixels Research Article-Computer Engineering and Computer Science Satellite imagery Science Spatial data Urban planning Segmentation Remote sensing Building footprint extraction
ISSN:	2193-567X, 1319-8025, 2191-4281
On-line prístup:	Získať plný text
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