Extended Kalman Filter Implementation for Three-Attitude-Angle Fusion
Integration of triaxial gyroscope and triaxial accelerometer signals using Extended Kalman Filter for three-attitude-angle fusion with algorithm implementation details
PCA-based Remote Sensing Image Fusion
PCA-based remote sensing image fusion with excellent results, suitable as introductory material for learning remote sensing image fusion techniques, featuring implementation insights about principal component analysis and image processing workflows.
An Approach to Radar and Infrared Target Tracking Fusion
An exploration of radar and infrared target tracking fusion, including algorithm implementation and integration techniques
Integration of CKF and UKF for Enhanced State Estimation
Combining CKF and UKF effectively addresses state mutation challenges in CKF while maintaining numerical stability through innovative fusion algorithms
MATLAB Simulation Program for Track-to-Track Association and Fusion in Multi-Target Tracking
A MATLAB simulation program for track-to-track association and fusion in multi-target tracking, featuring robust implementation with excellent performance!!!
Infrared and Visible Image Fusion Using Wavelet Transform
Implementation of infrared and visible image fusion based on 2-level wavelet decomposition with multiple fusion rules for enhanced image quality
Wavelet Transform-Based Image Processing with MATLAB
MATLAB implementation of wavelet transform for image processing applications including image segmentation and fusion techniques, featuring code examples for multi-level decomposition and reconstruction using wavelet functions.
Facial Preprocessing Code in MATLAB
This implementation combines logarithmic transformation with AT algorithm processing to merge shadowed facial images, producing illumination-normalized preprocessed faces suitable for further analysis.
InSAR Optimal Fusion Filtering
MATLAB implementation of InSAR optimal fusion filtering algorithm, verified through testing to be effective and feasible with detailed code structure and optimization techniques
Fusion of Two Grayscale Images Using Wavelet Transform
Fusion of two grayscale images using wavelet transform: Perform 2-level decomposition on image 1 with sym4 wavelet function, then process decomposition coefficients for fusion by emphasizing contours and suppressing details. Apply 2-level decomposition with sym4 wavelet to image 2. Finally, fuse images in wavelet transform domain and reconstruct fused coefficients. Implementation involves wavelet decomposition, coefficient processing, and inverse wavelet transform.