Kalman Filter for Data Fusion
Kalman filter implementation for data fusion that performs matrix-weighted fusion of filtering results from multiple sensors to obtain precise output estimates
Explore MATLAB source code curated for "加权融合" with clean implementations, documentation, and examples.
Kalman filter implementation for data fusion that performs matrix-weighted fusion of filtering results from multiple sensors to obtain precise output estimates
This resource provides three classical image fusion algorithms: Weighted Average, PCA, and IHS fusion, accompanied by detailed program explanations. It is particularly suitable for beginners in image fusion, offering insights into algorithm implementation and practical coding approaches.
MATLAB code implementation of weighted fusion algorithm with technical explanations
MATLAB Code Implementation of Common IHS, PCA, and Weighted Fusion Algorithms for Remote Sensing Image Processing