AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
Wuhan University · State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing · +3 more institutions
Abstract
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote sensing imagery. In recent years, it has become an active task in the remote sensing area, and numerous algorithms have been proposed for this task, including many machine learning and data-driven approaches. However, the existing data sets for aerial scene classification, such as UC-Merced data set and WHU-RS19, contain relatively small sizes, and the results on them are already saturated. This largely limits the development of scene classification algorithms. This paper describes the Aerial Image data set (AID): a large-scale data…
Citation impact
- FWCI
- 101.38
- Percentile
- 100%
- References
- 93
Authors
8- GXGui-Song XiaCorresponding
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- JHJingwen Hu
Wuhan University
- FHFan Hu
Wuhan University
- BSBaoguang Shi
Huazhong University of Science and Technology
- XBXiang Bai
Huazhong University of Science and Technology
Topics & keywords
- Aerial image
- Set (abstract data type)
- Benchmark (surveying)
- Data set
- Contextual image classification
- Aerial imagery
- Deep learning
- Aerial survey