A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images
Wuhan University · National Administration of Surveying, Mapping and Geoinformation of China · +1 more institution
Abstract
Change detection based on remote sensing images plays an important role in the field of remote sensing analysis, and it has been widely used in many areas, such as resources monitoring, urban planning, disaster assessment, etc. In recent years, it has aroused widespread interest due to the explosive development of artificial intelligence (AI) technology, and change detection algorithms based on deep learning frameworks have made it possible to detect more delicate changes (such as the alteration of small buildings) with the help of huge amounts of remote sensing data, especially high-resolution (HR) data. Although there are many methods, we still lack a deep review of the recent progress concerning the latest…
Citation impact
- FWCI
- 26.89
- Percentile
- 100%
- References
- 190
Authors
8Topics & keywords
- Change detection
- Computer science
- Deep learning
- Remote sensing
- Artificial intelligence
- Field (mathematics)
- High resolution
- Data science
- Sustainable cities and communities