of synthetic aperture radar image processing method and system

摘要

The invention of raw data obtained through the all-weather SAR target detection is possible regardless of the day or night or bad weather Divide the area into a number of bursts (Burst), by binding a predetermined number of bursts in the sub-data sharing (Subaperture), using a geometric model to calculate a Doppler parameter information for each burst, a Doppler processing result on the parameter information of the burst region The process to produce a final image with, SAR is of about the image processing method and system. SAR image processing system according to the present invention divides each burst at regular intervals by dividing the raw radar data to process payload (Azimuth) direction, and by binding the burst by a predetermined number determined in the sub data group (Subaperture), time of the raw data sikimyeo corresponding to the image processing controlling the visual position and the position on the image processing result, assigns processing result to the burst region to be used to control the Doppler information in the burst parameters to the image processing result is generated; Calculating the Doppler parameters individually for each burst, to calculate the mean time of the image processing result, calculates the size of the processing result image, parameter calculation unit for calculating a pixel resolution of the image processing resu Image processor for processing using the Doppler information and focusing (Focusing) algorithm to the raw data; In order to process the raw data of large file is read and divided by the blocks during the image processing or the image data file management unit for storage; And a parallel processor for processing at the same time setting the Line or Azimuth Range Line thread (Thread) as many as the number for the image processing result. According to the present invention, it is possible to improve the access file in a radar image (File Access) speed. Further, by applying the BIP (Band Interleaved by Pixel) structure for each image by performing parallel processing for each burst (burst) to improve system speed. And, for a large volume of image data can be processed at a high speed, according to the use of block processing for the entire image file processing method can be reliable and fast operation. ;