Research On The Technology Of Ship Target Detection With Spaceborne SAR And AIS

China has a long coastline, there has Conflicts of interest in the exclusive economic zone with neighboring countries.we must keep watch over the ships entering economic zone Without permission, Maintain our maritime rights and interests. Spaceborne SAR has high spatial resolution and large coverage area, which can determine the precise position of the ship.High-resolution SAR images for the identification of possible ship type, but the ship is difficult to effectively verify the test results. AIS (Automatic Identification System) in real-time identification of ships, surveillance, communications and status reports, with high precision, all-weather features, can be used to provide information on the SAR ship detection results for effective verification.Nowadays many ship target detection algorithms have been developed based on SAR images. Due to run short of in situ measurement data, it is very difficult to give those algorithms objective evaluation.This paper carried out with the SAR and AIS objective simultaneous detection experiments in the waters near Qingdao, we get high-resolution RADARSAT-2 images and synchronize AIS information. A new ship target detection algorithm has developed based on the measurements,which can apply to different circumstances,and high-resolution SAR image segmentation algorithm of surface targets has developed, which improve the accuracy of ship length and width of feature extraction.As for SAR Ship target detection algorithm, in this paper ship target detection under different clutter is carried out, the effect of different sea conditions and noise conditions on the ship target detection are discussed, A new algorithm -ship target detection of SAR images based on The G0 distribution which can apply to different circumstances is developed,and with the classical CFAR algorithm based on K distribution in comparison algorithm using measured data on effective verification. As for high-resolution ship targets segmentation algorithm of SAR images, A variety of high-resolution image filtering algorithm are analyzed.Based on ships in high-resolution images are surface target, remote sensing classification ideas are used in SAR images segmentation,and multi-threshold segmentation theory is established.A high-resolution SAR images clustering segmentation algorithm based on FCM is developed in paper, which were compared with KSW segmentation algorithm to evaluate the effectiveness of this method. AIS are important supplementary data sources,which are used to discuss the accuracy problem of extracting ship target length and width in high resolution SAR images.