MATLAB Implementation of SIFT-PCA for Efficient Feature Extraction and Dimensionality Reduction
MATLAB code combining SIFT feature extraction with PCA dimensionality reduction for optimized image processing
MATLAB Code Implementation of Principal Component Analysis (PCA)
MATLAB Implementation of Principal Component Analysis (PCA) with Detailed Algorithm Description
Multi-Method Panchromatic and Multispectral Image Fusion
Multi-Method Panchromatic and Multispectral Image Fusion with Algorithm Implementations
Classical PCA Face Recognition Method and PCA+SVM Face Recognition Approach
Implementation and Analysis of PCA-Based and PCA+SVM Hybrid Face Recognition Methods
Change Detection Method Implementation Using PCA and k-means Algorithms
Implementation of change detection methodology combining Principal Component Analysis (PCA) for dimensionality reduction and k-means clustering for pixel classification