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A Fast Hidden Surface Removal Approach for Complex SAR Scene Based on Adaptive Ray-tube Splitting Method 基于自适应射线管分割法的复杂SAR场景隐藏面快速去除方法
Journal of Radars Pub Date : 2013-05-03 DOI: 10.3724/SP.J.1300.2012.20064
Dong Chunzhu, Yin Hongcheng, Wang Chao
{"title":"A Fast Hidden Surface Removal Approach for Complex SAR Scene Based on Adaptive Ray-tube Splitting Method","authors":"Dong Chunzhu, Yin Hongcheng, Wang Chao","doi":"10.3724/SP.J.1300.2012.20064","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2012.20064","url":null,"abstract":"Traditional hidden surface removal algorithm based on hardware Z-Buffer technique cannot give attention to precision or efficiency at the same time when dealing with the non-uniform triangulated SAR (Synthetic Aperture Radar) scene model. A novel high-precision hidden surface removal approach using fast ray-tube splitting algorithm is proposed, where the SAR scene hidden surface removal problem is decomposed into two simple procedures, i.e. a Delaunay triangulator is used to generate the initial ray tubes from the projected point clouds of all incident visible vertices, then an adaptive ray-tube splitting method is adopted to carry out the complex scene shading situations and resultant visible model reconstruction. Simulation results of typical aircraft and T-72 tank show that, the new approach is feasible and effective.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Radar Target Recognition Based on Semiparametric Density Estimation of SLC: Radar Target Recognition Based on Semiparametric Density Estimation of SLC 基于SLC半参数密度估计的雷达目标识别:基于SLC半参数密度估计的雷达目标识别
Journal of Radars Pub Date : 2013-05-03 DOI: 10.3724/SP.J.1300.2012.20097
Shan-shan Cui, Jianjiang Zhou, Jiehao Zhu
{"title":"Radar Target Recognition Based on Semiparametric Density Estimation of SLC: Radar Target Recognition Based on Semiparametric Density Estimation of SLC","authors":"Shan-shan Cui, Jianjiang Zhou, Jiehao Zhu","doi":"10.3724/SP.J.1300.2012.20097","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2012.20097","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Compressive Sensing SAR Imaging Approach Based on Wavelet Package Algorithm 基于小波包算法的压缩感知SAR成像方法
Journal of Radars Pub Date : 2013-04-01 DOI: 10.3724/SP.J.1300.2013.20068
Shi Yan, Di-rong Chen
{"title":"A Compressive Sensing SAR Imaging Approach Based on Wavelet Package Algorithm","authors":"Shi Yan, Di-rong Chen","doi":"10.3724/SP.J.1300.2013.20068","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20068","url":null,"abstract":"Compressive sensing SAR imaging can significantly reduce the sampling rate and the amount of data required, but it is essential only in the case where the reflection coefficients of a SAR scene are sparse. This paper proposes a compressive sensing SAR imaging method based on wavelet packet sparse representation. The wavelet packet algorithm is used to choose the most sparse representation of the SAR scene by training the same type of SAR images. By solving for the minimum 1 l norm optimization, the SAR scene reflection coefficients can be reconstructed. Unambiguous SAR images can be produced with the proposed method, even with fewer samples. SAR data simulation experiments demonstrate the efficiency of the proposed method.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Method Based on Logarithmic Spiral Edge Fitting for Information Extraction of Eddy in the SAR Image 基于对数螺旋边缘拟合的SAR图像涡流信息提取方法
Journal of Radars Pub Date : 2013-04-01 DOI: 10.3724/SP.J.1300.2013.13004
Yang Min, Chong Jin-song
{"title":"A Method Based on Logarithmic Spiral Edge Fitting for Information Extraction of Eddy in the SAR Image","authors":"Yang Min, Chong Jin-song","doi":"10.3724/SP.J.1300.2013.13004","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13004","url":null,"abstract":": Synthetic Aperture Radar (SAR) provides abundant data for the research of eddies. It is important to effectively extract the information of eddies from the SAR images. In this paper, we present a method based on logarithmic spiral edge fitting for the extraction of information from SAR images, and it is capable of extracting the eddy center, eddy diameter, and the size of the eddy edge. Based on this method, an experiment is conducted to extract eddy information from a sequence of SAR images acquired by ENVISAT ASAR and ERS-2. The information pertaining to two eddies and their movements can be obtained. The validity of the method can be verified by making comparisons with the pseudo-color composite results.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Detection of Moving Targets Based on Doppler Spectrum Analysis Technique for Passive Coherent Radar 基于多普勒频谱分析技术的被动相干雷达运动目标检测
Journal of Radars Pub Date : 2013-04-01 DOI: 10.3724/SP.J.1300.2013.20081
Yao-dong Zhao, Xiao-de Lü, Ji-chuan Li, M. Xiang
{"title":"Detection of Moving Targets Based on Doppler Spectrum Analysis Technique for Passive Coherent Radar","authors":"Yao-dong Zhao, Xiao-de Lü, Ji-chuan Li, M. Xiang","doi":"10.3724/SP.J.1300.2013.20081","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20081","url":null,"abstract":"摘 要:该文提出了基于多普勒谱分析的无源相干雷达(PCR)运动目标检测的方法,将雷达系统接收到的外辐射源 连续波信号分段并等效成脉冲串信号,利用脉冲压缩和多普勒处理技术对目标进行检测及定位。该方法以脉冲多普 勒(PD)雷达的理论为基础,说明了匹配滤波时连续波信号可以划分成脉冲串信号等效处理,对应给出了无源雷达 信号分段及多普勒谱分析的具体方法。文中还详细推导了该方法与传统的计算互模糊函数(CAF)方法之间的数学联 系,确立了分段参数的设置准则,在几乎不影响目标积累增益的前提下,计算效率可提升 3 10 ~ 5 10 倍。仿真数据 和实测数据分别验证了该方法的有效性。 关键词:无源雷达;动目标检测;匹配滤波;多普勒谱分析 中图分类号: TN957.51 文献标识码: A 文章编号: 2095-283X(2013)02-0247-10 DOI: 10.3724/SP.J.1300.2013.20081","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder 基于多层自编码器的SAR目标和阴影共享表示
Journal of Radars Pub Date : 2013-04-01 DOI: 10.3724/SP.J.1300.2013.20085
Zhi-jun Sun, Lei Xue, Yang-ming Xu, Zhijun Sun
{"title":"Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder","authors":"Zhi-jun Sun, Lei Xue, Yang-ming Xu, Zhijun Sun","doi":"10.3724/SP.J.1300.2013.20085","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20085","url":null,"abstract":"Automatic Target Recognition (ATR) of Synthetic Aperture Radar (SAR) images is investigated. A SAR feature extraction algorithm based on a multilayer auto-encoder is proposed. The method makes use of a probabilistic neural network and Restricted Boltzmann Machine (RBM) modeling probability distribution of the environment. Through the formation of a more expressive multilayer neural network, the deep learning model learns the shared representation of the target and its shadow outline reflecting the target shape characteristics. Targets are classified automatically through two recognition models. The experiment results based on the MSTAR verify the effectiveness of the proposed algorithm.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
单频网CP-OFDM 信号外辐射源雷达的分载波杂波抑制方法 （英文） 单频网CP-OFDM 信号外辐射源雷达的分载波杂波抑制方法 （英文）
Journal of Radars Pub Date : 2013-03-27 DOI: 10.3724/SP.J.1300.2013.13030
易建新, 万显荣, 赵志欣, 柯亨玉
{"title":"单频网CP-OFDM 信号外辐射源雷达的分载波杂波抑制方法 （英文）","authors":"易建新, 万显荣, 赵志欣, 柯亨玉","doi":"10.3724/SP.J.1300.2013.13030","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13030","url":null,"abstract":"杂波抑制是外辐射源雷达目标检测的一项关键技术。尤其在单频网配置下，多径杂波和地杂波相对于单发射站情况成倍增长，造成其在空域和时域均具更大扩展，使得传统杂波处理方法面临新的困难。该文研究了一种新的分载波杂波抑制方法，该方法针对带循环前缀的正交频分复用信号(CP-OFDM)所设计，能较好克服单频网配置给杂波抑制引入的新问题。文章首先阐述了该方法的原理，接着展示了其有别于传统方法的特性，包括分载波空域处理的多普勒响应和全新的主瓣杂波问题，然后从理论上研究了该方法的鲁棒性，仿真和实测处理结果验证了该文方法的有效性。","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne: A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne 星载双基地SAR成像的SIFT算法
Journal of Radars Pub Date : 2013-03-01 DOI: 10.3724/SP.J.1300.2013.13018
Cheng Shichao, Xing Mengdao, Zhang Shuangxi, B. Zheng
{"title":"A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne: A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne","authors":"Cheng Shichao, Xing Mengdao, Zhang Shuangxi, B. Zheng","doi":"10.3724/SP.J.1300.2013.13018","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.13018","url":null,"abstract":"","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70073714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Review of Spaceborne SAR Algorithm for Image Formation 星载SAR图像生成算法综述
Journal of Radars Pub Date : 2013-03-01 DOI: 10.3724/SP.J.1300.2013.20071
Chunsheng Li, Yang Wei, Pengbo Wang
{"title":"A Review of Spaceborne SAR Algorithm for Image Formation","authors":"Chunsheng Li, Yang Wei, Pengbo Wang","doi":"10.3724/SP.J.1300.2013.20071","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20071","url":null,"abstract":"This paper first reviews the history and trends in the development of spaceborne Synthetic Aperture Radar (SAR) satellite technology in the USA and Europe. The basic information regarding launched satellites and future satellite plans are introduced. Then, this paper summarizes and categorizes the imaging algorithms of spaceborn SAR satellites, and analyzes the advantages and disadvantages of each algorithm. Next, the scope and the application status of each algorithm are presented. Then, the paper presents details of trends related to the SAR imaging algorithm, which mainly introduces the algorithms based on compressive sensing theory and new image modes. The simulation results are also presented. Finally, we summarize the development direction of the spaceborne SAR imaging algorithm.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Ground Clutter Suppression with Dual-threshold Controlled Method for Airborne Weather Radar 机载气象雷达地杂波双阈值抑制方法
Journal of Radars Pub Date : 2013-02-01 DOI: 10.3724/SP.J.1300.2013.20057
Yanfei Han, R. Wu, Li Hai
{"title":"Ground Clutter Suppression with Dual-threshold Controlled Method for Airborne Weather Radar","authors":"Yanfei Han, R. Wu, Li Hai","doi":"10.3724/SP.J.1300.2013.20057","DOIUrl":"https://doi.org/10.3724/SP.J.1300.2013.20057","url":null,"abstract":"In this paper, a new method of dual-threshold controlled adaptive clutter suppression is proposed for an airborne weather radar operated in the wind shear mode. To reliably estimate the center frequency and bandwidth of the clutter spectrum, the echo power in each range cell is used to design a dual-threshold controlled adaptive notch filter. This filter can reject the maximum amount of ground clutter, while reducing the effect of clutter residue on the wind shear signal. Results of our simulation have confirmed that this method has a superior clutter suppression performance, and can effectively improve the wind speed estimate accuracy of the wind shear signal.","PeriodicalId":37701,"journal":{"name":"Journal of Radars","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70074193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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