Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery

Earth and Planetary Sciences

• Covariance 100%
• Interpolation 100%
• Reflectance 66%
• Root-Mean-Square Error 66%
• Remote Sensing 33%
• Time Series 33%
• Satellite Imagery 33%
• Surface Reflectance 33%
• Spectral Reflectance 33%
• Kriging 33%
• Hyperspectral Image 33%

Keyphrases

• Kriging Interpolation 50%
• Spectral Similarity 50%
• Multispectral Satellite Images 50%
• Temporal Reference 50%
• Hyperspectral Satellite Imagery 50%
• Relative Root Mean Square Error 50%