DEEP LEARNING BASED BUILDING FOOTPRINT EXTRACTION FROM VERY HIGH RESOLUTION TRUE ORTHOPHOTOS AND NDSM

DEEP LEARNING BASED BUILDING FOOTPRINT EXTRACTION FROM VERY HIGH RESOLUTION TRUE ORTHOPHOTOS AND NDSM

A challenging aspect of developing deep learning-based models for extracting building footprints from very high resolution (

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Bibliographische Detailangaben
Veröffentlicht in:ISPRS annals of the photogrammetry, remote sensing and spatial information sciences remote sensing and spatial information sciences, 2022-01, Vol.V-2-2022, p.211-218
Hauptverfasser: Buyukdemircioglu, M., Can, R., Kocaman, S., Kada, M.
Format: Artikel
Sprache:eng
Schlagworte:
Accuracy
Algorithms
Artificial neural networks
Computer vision
Deep learning
Footprints
High resolution
Image segmentation
Machine learning
Orthophotography
Training
Vector processing (computers)
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Beschreibung
Zusammenfassung:A challenging aspect of developing deep learning-based models for extracting building footprints from very high resolution (
ISSN:2194-9050
2194-9042
2194-9050
DOI:10.5194/isprs-annals-V-2-2022-211-2022