A sar image processing method to suppress scallop effect and sub-band splicing effect

Abstract

The present invention relates to the technical field of signal processing, in particular to a SAR image processing method for suppressing the scallop effect and the sub-band splicing effect, comprising: reading in the SAR image, and performing preprocessing on it to obtain an image to be processed; judging the SAR image in the image to be processed The complexity of the scene is to segment the image that meets the complex scene conditions; for the image that does not meet the complex scene conditions and the sub-images obtained after segmentation, the scallop effect stripes or sub-band splicing stripes in the image are removed based on the Kalman filter, and the output suppression Image after striping. The method provided by the present invention uses the Kalman filter to estimate the stripe intensity of each column of the image as the core, uses image segmentation and pixel completion to process complex scene images, and finally realizes the scallop effect stripes or stripes in different scene images The fringe suppression of subband splicing effect is of great significance to improve the quality of ScanSAR images.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a SAR image processing method for suppressing scallop effect and sub-band splicing effect. Background technique [0002] Spaceborne Synthetic Aperture Radar (SAR) is a kind of microwave imaging radar, which is not affected by weather and climate, and can observe the earth in all-weather, all-weather, high-resolution and large areas. It is widely used in many fields such as monitoring, resource detection, agriculture and forestry. [0003] With the continuous improvement of the requirements for space observation of the earth, in order to meet the needs of wide surveying swaths, the SAR system has developed the ScanSAR (scanning) working mode. This mode obtains a larger imaging bandwidth by periodically adjusting the antenna attitude, which can greatly reduce the number of satellite revisits and improve imaging efficiency. However, the working mechanism of the scan caus...

AI Technical Summary

Problems solved by technology

The existence of scallop effect and subband stitching effect seriously affects the quality of SAR image and subsequent application

Although there are many methods to suppress the scallop effect or sub-band splicing effect, it is often difficult to achieve satisfactory results when applied to complex scene images.

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