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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

Inactive Publication Date: 2014-09-03
FUJIAN AGRI & FORESTRY UNIV
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Problems solved by technology

The histogram matching method completely solves the shortcomings of CCD response nonlinearity, but this method depends on the selection of images

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  • Stripe removal method of remote sensing images based on Fourier high-pass filtering and focal analysis
  • Stripe removal method of remote sensing images based on Fourier high-pass filtering and focal analysis
  • Stripe removal method of remote sensing images based on Fourier high-pass filtering and focal analysis

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Embodiment Construction

[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] :

[003...

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Abstract

The invention discloses a stripe removal method of remote sensing images based on Fourier high-pass filtering and focal analysis. Preliminary smooth processing of focal analysis is combined in the method to easily remove stripe noises. Results show that compared with original images, mean values and standard deviation in different wave bands of processed images are obviously decreased and the signal to noise ratio of the processed images is substantially increased; and variation values are totally better than those in a histogram matching method and a cubic convolution processing method. It is comprehensively shown that the stripe removal method is suitable for removing stripe noise of remote-sensing images, and is easier and more feasible compared with a present programming noise elimination method and the like.

Description

Technical field [0001] The invention relates to a remote sensing image stripping method, in particular to a remote sensing image stripping method based on Fourier high-pass filtering and focus analysis. Background technique [0002] Striped noise is a kind of periodic, directional and strip-shaped system noise. The reason is: due to the photoelectric sensor linear CCD device repeatedly scanning the ground object imaging, it is caused by the corresponding difference between the positive and negative scanning of the scanning detection element, the mechanical movement of the sensor and the temperature change. Band noise conceals some real radiation information in the image, and the influence of band noise should be eliminated before computer interpretation and visual interpretation. [0003] TM remote sensing images also have band noise, and the current band noise removal methods can be divided into three categories: One is to eliminate band noise by creating filters, but this method...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 刘健余坤勇
Owner FUJIAN AGRI & FORESTRY UNIV
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