SAR image denoising compressing method based on adaptive multi-dimension Bandelet packet

Abstract

This invention discloses an SAR image denoise compression method based on adaptive multiscale Bandelet package, relating to remote sensing image processing technology field, comprising steps: (1) reading model image M of complex value SAR image for logarithmic transformation to obtaining transformed image M'=log(M+1); (2) carrying out adaptive multiscale Bandelet package transformation with M', and filtering speckle noise with soft threshold method to obtain coefficient after denoising process; (3) carrying out reverse adaptive multiscale Bandelet package transformation with filtered coefficient to obtain M'', then carrying out reverse logarithmic transformation to obtain denoised image M denoise =e<M''>-1; (4) carrying out adaptive multiscale Bandelet package transformation with denoisedimage Mdenoise to obtain Bandelet coefficient; (5) quantifying and encoding the Bandelet coefficient, then carrying out reverse adaptive multiscale Bandelet package transformation to obtain denoised compressed SAR image. This invention has advantages of high peak signal / noise ratio, equivalent looks and edge remaining coefficient of compressed image, capable of effectively remaining high frequency texture and target geometrical structure of the SAR image, with low complex and rapid realization.

Description

technical field The invention belongs to the technical field of remote sensing image processing, and relates to a synthetic aperture radar (SAR) image denoising compression method. This method can be used in the storage and transmission processing of high-resolution SAR images. Background technique SAR is a remote sensing imaging device that can work all-weather and all-day. It can perform high-resolution and large-area imaging of ground targets. It has the characteristics of complex imaging mechanism, high data rate and large amount of image data. For example, the data rate of a practical space-borne SAR system is about 200Mbps, and the downloading of high-speed, large-scale data transmission data is very difficult compared to the limited bandwidth. Although there are some methods such as reducing the radar PRF, reducing the number of bits of the A / D converter and system bandwidth, etc., which can reduce the data rate, they will all degrade the system performance. Therefo...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to overcome the deficiencies of the existing SAR image compression technology, provide a SAR image denoising compression method based on adaptive multi-scale Bandelet package, analyze, filter and compress the original SAR image complex data, suppress noise and Useless information, ensure the image quality and get the highest possible compression ratio at the same time, provide an effective solution for the high data transmission bottleneck problem of the SAR system

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