SAR image minor lobe suppression method based on module value constraint

Abstract

The invention discloses an SAR image minor lobe suppression method based on module value constraint. The method mainly solves the problem that strong target points in an SAR image shelter weak target points adjacent to the strong target points. The method comprises the implementation steps of 1, inputting the SAR image and acquiring a real part image I and an imaginary part image Q; 2, calculating the azimuth weight of the real part image I and acquiring an azimuth real part image I1; 3, calculating the distance weight of the azimuth real part image I1 and acquiring a distance real part image Ic; 4, calculating the azimuth weight of the imaginary part image Q and acquiring an azimuth imaginary part image Q1; 5, calculating the distance weight of the azimuth imaginary part image Q1 and acquiring a distance imaginary part image Qc; 6, synthesizing the distance real part image Ic and the distance imaginary part image Qc into the final SAR image. According to the method, minor lobes of the SAR image can be better suppressed, the width of a main lobe is decreased, and the capacity of detecting the weak target points in the SAR image is improved. The method can be applied to target recognition.

Description

technical field [0001] The invention relates to the technical field of radar imaging, in particular to a SAR image sidelobe suppression method, which can be applied to radar images. Background technique [0002] Sidelobe suppression technology has always been one of the key technologies in the field of radar image processing, and it is widely used in sidelobe suppression of radar impulse response. Many important SAR image quality parameters can be estimated by impulse response, such as two quality parameters related to sidelobe performance: peak sidelobe ratio PSLR and integral sidelobe ratio ISLR can be measured by impulse response. The size of PSLR determines the ability of strong target points to cover adjacent weak target points, and ISLR indicates the degree to which the local dark area in the SAR image is submerged by the energy leakage of the surrounding bright areas. [0003] The performance of side lobes directly affects the information utilization in SAR images. B...

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Problems solved by technology

[0014] The disadvantage of the above method is that the orientation weight w in formula 1) m and the distance weight w n It is only 0 or 1 / 2. In practical applications, due to the existence of other non-systematic errors such as noise, the selection of 0 and 1 / 2 cannot effectively suppress side lobes and affect the resolution of the image.

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