Pan Sharpening
A process that merges high-resolution panchromatic and lower-resolution multispectral imagery to create a single high-resolution colour image
Explain the term Pan Sharpening?
A method for improving the spatial resolution of multispectral pictures in remote sensing and GIS is pan sharpening. It entails fusing lower-resolution multispectral images, which contain colour information across many spectral bands, with high-resolution panchromatic (pan) images, which are single-band grayscale images that capture small details.
The procedure creates a single high-resolution colour image by combining the rich spectral (colour) information from the multispectral bands with the detailed spatial information from the panchromatic image. Better visualization and more precise analysis of land cover, vegetation, urban features, and other spatial phenomena are made possible by this enhanced image.
In satellite imagery processing, pan sharpening is frequently used to balance colour accuracy and detail in order to optimize the usefulness of the data that is available.
Related Keywords
In remote sensing, pan-sharpening creates sharper, more detailed images while maintaining colour fidelity by combining multispectral data with high-resolution panchromatic images.
In GIS, pan sharpening is a method that combines multispectral images with a high-resolution panchromatic image to improve the spatial resolution of the former. This method produces a single image that preserves the multispectral bands' spectral (color) information while enhancing the panchromatic band's spatial resolution, which makes it particularly helpful for precision agriculture, land use analysis, and urban mapping.
The process of pan-sharpening satellite photos creates a single image with rich spectrum information and high spatial detail by combining low-resolution multispectral images with high-resolution panchromatic (grayscale) images. This procedure increases the accuracy and visual quality of applications such as environmental monitoring, urban planning, and land use mapping.
In order to create a single, high-resolution colour image, pan sharpening approaches blend low-resolution multispectral photos with high-resolution panchromatic images. This preserves spectral information while improving spatial detail, which makes it useful for GIS, remote sensing, and applications including environmental monitoring, urban mapping, and agricultural.