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Data fusion (Feature/object fusion (Optical imagery and Lidar fusion…
Data fusion
Feature/object fusion
Optical imagery and Lidar fusion
Kanaev paper
Extract features from each sensor/sensor channel
Optical imagery and SAR (synthetic aperture radar)
Segmentation
Decision fusion
SCYM model
agriculture model outputs
calibrated regression
VI-LAI relationship
Yield prediction from RS data
Voting/consensus
Consensus approach (Fritz)
Statistical
Fuzzy logic
Pixel fusion
Multi-resolution analysis
Spatial/temporal
STARFM
STAARCH
ESTARFM
Operational STARFM
Pan-sharpening
Component substitution
Intensity/Hue/Saturation transform
Modulation
Smoothing filters
Blockages
Inconsistent cloud cover in images
Spatially fused images may not detect changes at sub-pixel level (sub-pixel for coarser pixel)
Sensor effects
Viewing angle
Image coregistration