Satellite-Derived Aerosol Optical Depth Fusion Combining Active and Passive Remote Sensing Based on Bayesian Maximum Entropy.
Xinghui XiaBin ZhaoTianhao ZhangLuyao WangYu GuKuo-Nan LiouFeiyue MaoBoming LiuYanchen BoYusi HuangJiadan DongWei GongZhongmin ZhuPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- remote sensing
- maximum entropy
- image fusion
- multi spectral images
- change detection
- remote sensing images
- multispectral
- remote sensing imagery
- image analysis
- fusion method
- image processing
- maximum entropy principle
- hyperspectral
- high resolution
- high spatial resolution
- satellite imagery
- satellite images
- satellite data
- digital image analysis
- principle of maximum entropy
- minimum cross entropy
- remote sensing data
- remotely sensed
- land cover
- hyperspectral remote sensing
- earth observation
- transformation based learning
- remote sensed images
- data fusion
- geographical information systems
- hyperspectral imagery
- high quality
- automatic image registration
- remotely sensed data
- conditional random fields
- remotely sensed images
- earth science
- light source
- multispectral images
- neural network