HDFNet: Hierarchical Dynamic Fusion Network for Change Detection in Optical Aerial Images

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 8; p. 1440
• Main Authors: Zhang, Yi, Fu, Lei, Li, Ying, Zhang, Yanning
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 08.04.2021
• Subjects: aerial photography; area; Change detection; Convolution; data collection; Deep learning; dynamic convolution; exhibitions; hierarchical; image analysis; learning; multilevel supervision; Neural networks; remote sensing; Semantics; Supervision; Siam

Accurate change detection in optical aerial images by using deep learning techniques has been attracting lots of research efforts in recent years. Correct change-detection results usually involve both global and local deep learning features. Existing deep learning approaches have achieved good perfo...