DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 14; pp. 1194 - 1206
• Main Authors: Chen, Jie, Yuan, Ziyang, Peng, Jian, Chen, Li, Huang, Haozhe, Zhu, Jiawei, Liu, Yu, Li, Haifeng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Change detection; Data mining; Datasets; Deep learning; Detection; dual attention; Feature extraction; High resolution; high-resolution images; Image processing; Image resolution; Methods; Remote sensing; Resolution; Robustness; Satellite imagery; Siamese network; Spaceborne remote sensing; Task analysis; Wavelength division multiplexing; weighted double-margin contrastive (WDMC) loss

Change detection is a basic task of remote sensing image processing. The research objective is to identify the change information of interest and filter out the irrelevant change information as interference factors. Recently, the rise in deep learning has provided new tools for change detection, whi...