high-pass filter . Remote Sensing

In remote sensing, a high-pass filter is a type of image processing tool that enhances the fine details in an image by suppressing low frequency components and enhancing high frequency components. This can be useful for emphasizing features such as edges, ridges, and textures in the image.

High-pass filters work by applying a mathematical operation to the pixels in an image that amplifies the differences between adjacent pixels. This results in an image that has higher contrast and better definition of the small-scale features.

There are several different ways to implement a high-pass filter, including using convolution kernels or frequency domain techniques such as the Fourier transform. The specific approach used will depend on the characteristics of the image and the desired results.

High-pass filters are commonly used in remote sensing to extract information about the surface features of the Earth or other celestial bodies. They can be applied to both visible and non-visible wavelengths of electromagnetic radiation, such as radar or infrared data. They can also be used in other fields, such as medical imaging or industrial inspection, to highlight details and improve the contrast of images.

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