Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions.
Jingbo LiChangchun LiWeimeng XuHaikuan FengFa ZhaoHuiling LongYang MengWeinan ChenHao YangGuijun YangPublished in: Int. J. Appl. Earth Obs. Geoinformation (2022)
Keyphrases
- deep learning
- sar images
- normalized difference vegetation index
- optical images
- multispectral
- satellite images
- remote sensing
- synthetic aperture radar
- change detection
- remote sensing data
- land cover
- automatic target recognition
- image fusion
- remotely sensed data
- unsupervised learning
- remote sensing images
- machine learning
- image data
- oil spill
- wavelet domain
- high resolution
- mental models
- image analysis
- edge detector
- hyperspectral
- weakly supervised
- pattern recognition
- image reconstruction
- urban areas
- multiscale
- feature selection
- frequency domain
- image quality
- probabilistic model
- three dimensional