Explore MATLAB source code curated for "IHS" with clean implementations, documentation, and examples.
MATLAB source codes for three widely-used image fusion algorithms: IHS transformation, PCA-based fusion, and weighted fusion methods, including implementation details and algorithm explanations.
A comprehensive window-based tool for image fusion containing almost all commonly used fusion algorithms: PCA (Principal Component Analysis), IHS transformation, pyramid algorithms, wavelet transformation, à-trous wavelet transform, and Brovey fusion with code-level implementation insights.
Comparative analysis of four image fusion techniques (IHS, PCA, Wavelet, and Wavelet-PCA Hybrid) between panchromatic and multispectral images, including implementation methods and evaluation metrics calculation (Information Entropy, Q4, etc.)
An image fusion program implementing three distinct fusion algorithms: Weighted, IHS, and PCA methods for multi-band image integration
Image fusion programs implementing various algorithms including IHS, PCA, Laplacian Pyramid, PCNN, and Wavelet Transform - includes test images, thoroughly debugged and guaranteed to run properly. This represents the carefully developed core work of my graduation thesis.
Calculating image information entropy using MATLAB for IHS and PCA fusion of TM and SPOT remote sensing images, including code implementation details for image preprocessing and entropy calculation algorithms.
A comprehensive MATLAB assignment implementing various image fusion algorithms including IHS, PCA, weighted average, pyramid-based, and wavelet fusion methods with detailed code descriptions.
MATLAB source code implementations for three image fusion algorithms: IHS, PCA, and weighted fusion method
MATLAB source code implementing weighted image fusion algorithms including IHS and PCA fusion methods, primarily applied in GSM satellite image processing. Contains example images demonstrating clear visual processing results with adjustable parameters for optimized fusion outcomes.
MATLAB Code Implementation of Common IHS, PCA, and Weighted Fusion Algorithms for Remote Sensing Image Processing