MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 7; p. 1269
• Main Authors: Ren, Wuxu, Wang, Zhongchen, Xia, Min, Lin, Haifeng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2024
• Subjects: Accuracy; Artificial intelligence; Change detection; CNN; Comparative analysis; Computer networks; Decoding; Deep learning; High resolution; Image processing; Image resolution; Machine learning; Methods; Morphology; Neural networks; Remote sensing; remote sensing images; Satellites; self-attention mechanism; Semantics; Support vector machines; Technology application; Temporal variations; transformer; China

Change detection is widely used in the field of building monitoring. In recent years, the progress of remote sensing image technology has provided high-resolution data. However, unlike other tasks, change detection focuses on the difference between dual-input images, so the interaction between bi-te...