SRDFNet: Semantic Refinement and Differential Features for High-Resolution Change Detection

To address misclassification and reduced accuracy in semantic change detection caused by class imbalance and variable object sizes, this paper improves BGSNet and proposes a new change detection network, SRDFNet (Semantic Refinement and Differential Features). Based on BGSNet’s framework, it introdu...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Wenbo Zhao, Donghua Lu, Yingjun Zhao, Keyue Chen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-05-01
Schriftenreihe:	Sensors
Schlagworte:	remote sensing deep learning semantic change detection feature refinement multi-task learning
Online-Zugang:	https://www.mdpi.com/1424-8220/26/11/3427
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!