A Gain Adaptive Compensation Method for Bistatic SAR Image Based on Rayleigh Distribution

Abstract

The invention relates to the field of electronic technology, and discloses an adaptive compensation method for dual-base SAR image gain based on Rayleigh distribution. Including: preprocessing the original bi-base SAR image data, normalizing the image amplitude; statistically normalizing the histogram of the image; calculating the initial image amplitude interval; calculating the gain based on the amplitude, and normalizing the image Carry out integer quantization, find the Rayleigh distribution constant and compare the Rayleigh distribution constant with 1; iteratively calculate until the gain Ga closest to 1 is found; use the gain Ga to perform gain compensation on the image. The above method is based on the fact that the amplitude of the bistatic SAR image satisfies the Rayleigh distribution of σ=1, calculates an initial gain coefficient and then compares it with 1 to adjust the image gain value, and finally obtains a bistatic SAR image with appropriate contrast. In turn, it facilitates subsequent target detection and is helpful for practical applications.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to an adaptive compensation method for bibase SAR image gain based on Rayleigh distribution. Background technique [0002] Synthetic Aperture Radar (SAR), as an active microwave remote sensing imaging system, has all-weather, all-time, high-resolution imaging characteristics, and has been widely used in military and civilian applications. For a real-time SAR imaging system, in order to obtain the target area of ​​interest, it is necessary to perform target detection on the real-time acquired SAR image, and for different target scenes, due to the different target characteristics in the scene and the different irradiation angles of the radar beam, the resulting The image contrast varies greatly, and the fixed gain compensation method based on the strongest point of the scene may cause the contrast of some scenes to be too low and the contrast of some scenes to be too high. In the...

AI Technical Summary

Problems solved by technology

For a real-time SAR imaging system, in order to obtain the target area of ​​interest, it is necessary to perform target detection on the real-time acquired SAR image, and for different target scenes, due to the different target characteristics in the scene and the different irradiation angles of the radar beam, the resulting The image contrast varies greatly, and the fixed gain compensation method based on the strongest point of the scene may cause the contrast of some scenes to be too low and the contrast of some scenes to be too high

In the bistatic SAR imaging system, due to the different beam points of the transmitter and receiver, the contrast problem will be more serious, and the bistatic SAR image with too high or too low contrast will affect the subsequent target detection, resulting in practical application difficulties

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