AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation

Change detection (CD) is an essential field in remote sensing, with a primary focus on identifying areas of change in bitemporal image pairs captured at varying intervals of the same region. The data annotation process for CD tasks is both time-consuming and labor-intensive. To better utilize the sc...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 63; S. 1 - 14
Hauptverfasser:	Ran, Lingyan, Wen, Dongcheng, Zhuo, Tao, Zhang, Shizhou, Zhang, Xiuwei, Zhang, Yanning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation models Adaptive Learning Annotations Change detection change detection (CD) Data models Entropy (Information theory) Feature extraction Filtering Generative adversarial networks Labels mean teacher Modules Noise Perturbation methods pseudo-label Remote sensing Semi-supervised learning semi-supervised learning (SSL) Semisupervised learning Training
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!