Explore MATLAB source code curated for "多光谱图像" with clean implementations, documentation, and examples.
By applying the IHS transformation to RGB components formed from three bands of multispectral images, the spatial features (I) and spectral features (H and S) of the image can be separated. This technique enables independent manipulation of image brightness and color information, which is particularly useful in applications like remote sensing, image fusion, and color enhancement.
Image segmentation source code implementing multispectral image fusion and morphological reconstruction watershed algorithms - main program featuring advanced image processing techniques
A remote sensing image fusion implementation combining discrete wavelet transform and IHS transformation, specifically designed for merging multispectral and panchromatic images with detailed code structure and algorithm workflow.
MATLAB Implementation of Principal Component Analysis with Code Examples and Algorithm Explanation
Performing IHS Transformation on Images with Code Implementation Details