A multi-scale weakly supervised learning method with adaptive online noise correction for high-resolution change detection of built-up areas

• Published in: Remote sensing of environment Vol. 297; p. 113779
• Main Authors: Cao, Yinxia, Huang, Xin, Weng, Qihao
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.11.2023
• Subjects: Built-up areas; China; class; Class activation map; data collection; Digital change detection; environment; image analysis; multispectral imagery; Noise correction; urban development; Weakly supervised learning; ZY-3; China; Built-up areas; Digital change detection; Noise correction; Weakly supervised learning; Class activation map; ZY-3

Accurate change detection of built-up areas (BAs) fosters a comprehensive understanding of urban development. The post-classification comparison (PCC) is a widely-used change detection method by classification and temporal comparison. For classification, image-level labeling is an efficient alternat...