Papers by Keyword: SAR

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Authors: Li Jun Tian, Da Hui Li
Abstract: The paper shows a segmentation method of Synthetic Aperture Radar (SAR) image. In the method, firstly estimate the different parameters with normal distribution from histogram. Then make different judgment on each pixel. Finally make experiments in many images and the image segmentation results show that the method can reduce noise; it is a feasible method for SAR image segmentation.
Authors: Chuan Fu Guo, Shan Bin Zhang, Ying Shuai Jiang
Abstract: The evaluation and selection of Search And Rescue (SAR) schemes is one of the most important decision issues for maritime SAR. Owing to vague concept frequently represented in decision data, a group fuzzy multi-criteria decision-making approach is proposed to solve the SAR scheme optimal selection problem. In the proposed method, the experts’ opinions are described by trapezoidal fuzzy numbers, and the fuzzy Delphi method is adopted to adjust each expert’s opinion to achieve the consensus condition. By using the logarithmic least square method and trapezoidal fuzzy number arithmetic operations to estimate the normalized fuzzy priority weights, Analytic Hierarchy Process (AHP) is presented and consequently the consistency check of fuzzy judgment matrix is avoided. The results of simulation show that the method is flexible and credible and provides references in intelligent SAR decision-making.
Authors: De Jun Li, He Nan Wu, Guan Zhong Li, Guang Yang, Li Cheng, Xiao Rui Sun
Abstract: SAR image edge detection is one of the basic contents for SAR image processing and analysis, one of SAR airdrome image edge detection methods was advanced in the paper based on the basic character of SAR airdrome image through imaging theory and target statistical trait, SAR image pretreatment was realized by synchronously using median filter, image division and mathematics morphologic, at last SAR image was edge detected using Canny arithmetic operators.
Authors: Ya Nan Xie, Zheng De Yang, Xing Li Zhou
Abstract: Stereo SAR geolocation model is an important geolocation model for spaceborne synthetic aperture radar (SAR). Stereo SAR geolocation model need a stereo radar image pair whose generation have much influence on the geolocation accuracy. In this paper,a novel generation method of spaceborne SAR stereo image pair for geolocation is presented which could avoid the geolocation error caused by intersection angle error.Through computer simulation,the results verify the validity of the generation method.
Authors: Yong Chen, Hui Chang Zhao, Si Chen, Shu Ning Zhang
Abstract: Due to that the Doppler parameters vary according to slant and the resolution is lower using imaging algorithm of traditional pulse compression in processing raw echo data of the missile-borne synthetic aperture radar (SAR). Moreover, an algorithm is proposed to solve these problems, which is based on the fractional Fourier transform (FrFT) for missile-borne SAR imaging. Firstly, an echo signal model is built for the terminal guidance stage of the missile-borne SAR. Secondly, measure the chirp rate of the echo signal through the local optimum processing and get the optimum angles for the FrFT, and then the entire SAR image can be obtained by using FrFT with the optimum angles of the azimuth and range. Finally, the performances of the algorithms are assessed using simulated and real Radarsat-1 data sets. The results confirm that the FrFT-based missile-borne SAR processing methods provide enhanced resolution yielding both lower side lobes effects and improved target detection. The method introduced in this paper has important theoretical significance in detection and recognition for military targets and precision guidance.
Authors: Hua Chao Hu, Xin Jia, Jin Liang Wu, Gui Ping Zhang, Yang Gao
Abstract: A new kind of Synthetic Aperture Radar (SAR) jamming method is proposed: the 2-D interrupted-sampling repeater jamming. The fundamentals and implement of this jamming method are investigated. This jamming method can realize two-dimensional jamming in range and azimuth, and cause the SAR image ambiguous, and achieves the effect of multi-false targets. The research shows: both the suppression and deceptive jamming effect exist. Its validities are proved by the simulation.
Authors: M.I. Hossain, Rashed Iqbal Faruque Mohammad, M.T. Islam, N.H.M. Hanafi
Abstract: The aim of this paper is to review various techniques smeared in the last decade for the elevation of low Specific Absorption Rate (SAR) of cellular phone using auxiliary antenna elements. Considering health hazards of EM radiation from mobile phone, it is discernible that a mobile phone antenna must have low SAR characteristics which can be achieved by imposing SAR reduction methods. There are some abridgments for every reduction technique which restrain the extensive use of available mobile phone considering bandwidth, efficiency, size, cost and easy implementation. Among all of SAR reduction methods metamaterial technique may be more satisfying considering all aspects. Along with, we can consider SAR affecting parameters and make optimization for better response.
Authors: Ting Jun Li, Jian Cun Ren, Jian Li Han, Ai Hong Zhu, Hao Zhang
Abstract: We all known that using space-borne or airborne SAR can implement the parameters of internal wave, but the automatic method to abstract internal wave parameters from SAR data depend on computer is a practical question without settled. Based on practical application, this paper established automatic detection method of internal waves; through this method we can get the wave’s transmission direction. This method had been checked through multiple SAR data of internal wave and also had been approved validity and utility.
Authors: Hai Gang Sui, Feng Hua, Guang Chen, Chuan Xu
Abstract: Synthetic aperture radar (SAR) technique has been widely applied in disaster monitoring and evaluation, because of its all-weather and all-time capability. In particular, the integration of high resolution SAR image and GIS data has been proved to be an effective solution to change detection for rapid disaster response. However, accurate registration of SAR image and GIS data remains a challenging task. On the one hand, SAR image and GIS data are two different representation levels of the real world. GIS data lacks of grey value and texture information, thus traditional use of grey-based and texture-based feature descriptors for feature matching in GIS data is impossible. On the other hand, the extraction of matching primitives is difficult in the SAR image due to the speckle noise. Moreover, though features can be extracted in the SAR image, the matching can be difficult since features may be fractured and missing. In this paper, we propose a new method for vector-to-SAR image registration which utilizes conjugate line-pair intersections as matching primitives. The core idea consists in two aspects: 1) Different from traditional road intersection based registration methods, conjugate line-pair intersections are employed as matching primitive in the proposed method. 2) To find out the optimal set of matching features, a matching technique that using pairwise constraint and the iterative conditional mode (ICM) optimization algorithm is introduced. Experiment results proved the reliability and feasibility of the proposed method.
Authors: Hai Ping Huang, Xiao Ming Huang, Pin Wang
Abstract: This paper presents tests and comparisons between SAR and BOLL, tow security transaction expert systems, through statistical experiments, with the wining rate, annual rate of return and net profit rate as the management objectives, on basis of the mass data generated by the security market; the results suggest a ratio among the wining rate, annual return rate and net profit rate of the two as 0.876, 0.936 and 0.936 respectively, and the yearly numbers of transactions of SAR is 3.7 times more than that of BOLL. The lower rate of SAR is, as believed, a result of the higher transaction cost of it comparing with BOLL.
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