FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery.
Xian SunPeijin WangZhiyuan YanFeng XuRuiping WangWenhui DiaoJin ChenJihao LiYingchao FengTao XuMartin WeinmannStefan HinzCheng WangKun FuPublished in: CoRR (2021)
Keyphrases
- fine grained
- benchmark datasets
- remote sensing imagery
- remote sensing
- high resolution
- object recognition
- change detection
- coarse grained
- multispectral
- super resolution
- remote sensing images
- satellite images
- remote sensing data
- hyperspectral
- image processing
- access control
- computer vision
- high frequency
- spatial resolution
- land cover
- image analysis
- high quality
- wavelet transformation
- object detection
- man made
- low frequency
- feature detection
- infrared
- pattern recognition
- similarity measure