Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification.
Wei HanLizhe WangRuyi FengLang GaoXiaodao ChenZe DengJia ChenPeng LiuPublished in: Inf. Sci. (2020)
Keyphrases
- remote sensing
- scene classification
- high resolution
- change detection
- remote sensing images
- multispectral
- satellite images
- object recognition
- image fusion
- high spatial resolution
- image classification
- image processing
- image analysis
- biologically inspired
- natural scenes
- hyperspectral
- automatic image registration
- visual words
- super resolution
- image representation
- spatial resolution
- unsupervised learning
- medical imaging
- land cover
- satellite data
- multi spectral images
- remote sensing data
- semi supervised
- high frequency
- bag of features
- earth observation
- high quality
- natural images