Stripe removal method of remote sensing images based on Fourier high-pass filtering and focal analysis
An inverse Fourier transform and striping technology, which is used in image enhancement, image data processing, instruments, etc., can solve the problems of nonlinear response and image dependence, and achieve strip radiation reduction, effective extraction, and good smoothing effects. Effect
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[0026] The technical scheme of the present invention will be further described in detail below in conjunction with the drawings and specific embodiments.
[0027] 1. Strip noise extraction and removal method
[0028] 1.1 Strip noise extraction based on Fourier transform
[0029] The TM original image performs Fast Fourier Transform (FFT), editing filters, and inverse Fourier Transform operations, and establishes a threshold through comparative analysis to extract the high-frequency radiation part. A filter is a device that filters waves. A high-pass filter allows high-frequency components in the signal to pass and suppresses low-frequency or DC components, so it can sharpen the image and enhance the edges. The Fourier transform can transform the complex convolution operation in the space domain into a simple product operation in the frequency domain. For a two-dimensional M×N digital image f(x, y), the discrete Fourier transform and the inverse transform are respectively [4] :
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