Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset

•A new building segmentation dataset for deep learning is generated.•The current building datasets have been examined in terms of quality over quantity.•Recent state-of-the-art architectures and encoders have been employed.•Cross-evaluations with different datasets were performed for generability. A...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Expert systems with applications 2022-09, Vol.202, p.117346, Article 117346
Hauptverfasser:	Bakirman, Tolga, Komurcu, Irem, Sertel, Elif
Format:	Artikel
Sprache:	eng
Schlagworte:	Architecture Building extraction Coders Datasets Deep learning Disaster management Image resolution Image segmentation Pléiades Regional planning Remote sensing Satellite imagery Spatial distribution Urban
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!