Enhancing Building Segmentation With Shadow-Aware Edge Perception

Accurate building semantic segmentation in remote sensing imagery is essential for urban planning, environmental monitoring, and map creation. While deep learning has achieved significant advancements in this field, precisely segmenting building edges and shadows in complex scenarios remains challen...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2025, Vol.18, p.1-12
Hauptverfasser:	Yu, Ying, Wang, Chunping, Kou, Renke, Wang, Huiying, Yang, Boxiong, Xu, Jinhui, Fu, Qiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Attention Buildings Buildings segmentation Convolution Data mining Datasets Deep learning Environmental monitoring Feature extraction Ground truth High resolution Image edge detection Image enhancement Image processing Image resolution Image segmentation Imagery Information processing Machine learning Modules Perception Remote monitoring Remote sensing Semantic segmentation Semantics shadow-aware attention module shadow-inclusive contour transition module (SCTM) Shadows Shape Urban planning
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!