Remote sensing image change detection using deep learning techniques: a comprehensive survey
Shaanxi University of Science and Technology · Xi'an University of Technology · +4 more institutions
Abstract
Abstract In recent years, deep learning algorithms have been widely regarded as the preferred method for remote sensing image analysis and have been successfully applied in the field of change detection. However, currently only a few comprehensive review papers on deep learning based remote sensing image change detection methods are available. To address the above issues, this study provides the current research status and development trends of remote sensing image change detection and analysis based on deep learning. Firstly, considering the differences in data volume and in data characteristics between different data sources, unlike previous reviews that only focus on the change detection problem of a…
Citation impact
- FWCI
- 81.26
- Percentile
- 100%
- References
- 156
Authors
8Topics & keywords
- Deep learning
- Change detection
- Field (mathematics)
- Synthetic aperture radar
- Hyperspectral imaging
- Focus (optics)
- Image (mathematics)
- Contextual image classification