Self-adaption MTFC (modulation transfer function compensation) remote sensing image restoration method based on airspace

Abstract

The invention discloses a self-adaption MTFC (modulation transfer function compensation) remote sensing image restoration method based on the airspace. The self-adaption MTFC remote sensing image restoration method based on the airspace comprises the following steps: firstly, according to an MTF value actually measured in a laboratory and a user requirement value, determining the compensation values of MTF for a remote sensor system at different frequencies from the zero frequency to the Nyquist frequency range; then, according to the finite length filter principle, calculating to obtain a one-dimensional convolution coefficient; on the basis, constructing a two-dimensional finite length filter to calculate a two-dimensional convolution coefficient instead of the traditional Fourier transform so as to greatly simplify the calculation process. Meanwhile, according to the method disclosed by the invention, self-adaption noise suppression is carried out according to SNR (signal noise ratio) of different gray levels and different scenery contents under different imaging parameters actually measured by the laboratory, and the SNR of the image is guaranteed to be slightly lowered while the image MTF is improved. According to the method disclosed by the invention, the image MTF can be effectively improved, the image definition is improved, meanwhile, the noise is not amplified, and the image quality is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a restoration method of remote sensing images. Background technique [0002] The remote sensing imaging process is affected by the optics, platform, detectors, electronic devices, etc. in the atmosphere and imaging system, and there will be imaging degradation, resulting in blurred images and reducing image quality. If the ground MTFC (Modulation Transfer Function Compensation) is fully utilized, the image quality can be improved to a certain extent, and the interpretation ability of image information can be improved. [0003] MTFC is a mathematical concept derived from the optical remote sensor system MTF, which was first proposed by Leachtenauer in his work. Its ideas have been adopted by the General Image Quality Equation (GIQE) developed by the US government, and have been successfully applied in IKONOS, QuickBird-2, OrbView-3 and GeoEye-1, resulting in ...

AI Technical Summary

Problems solved by technology

[0006] The technical problem of the present invention is: to overcome the deficiencies of the prior art, aiming at the degradation of image quality caused by the optical system, detector and electronic components of the space optical remote sensor during the remote sensing imaging process, a method based on spatial deconvolution is proposed The self-adaptive image restoration method can improve image clarity and image quality without amplifying noise, and the processing speed and effect can meet the requirements of engineering practice

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