Pub Date : 2013-05-03DOI: 10.3724/SP.J.1300.2012.20064
Dong Chunzhu, Yin Hongcheng, Wang Chao
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.
{"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":"1 1","pages":"436-440"},"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}
Pub Date : 2013-05-03DOI: 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":"1 1","pages":"414-419"},"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}
Pub Date : 2013-04-01DOI: 10.3724/SP.J.1300.2013.20068
Shi Yan, Di-rong Chen
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.
{"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":"1 1","pages":""},"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}
Pub Date : 2013-04-01DOI: 10.3724/SP.J.1300.2013.13004
Yang Min, Chong Jin-song
: 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.
{"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":"1 1","pages":""},"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}
Pub Date : 2013-04-01DOI: 10.3724/SP.J.1300.2013.20085
Zhi-jun Sun, Lei Xue, Yang-ming Xu, Zhijun Sun
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.
{"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":"1 1","pages":""},"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}
Pub Date : 2013-03-01DOI: 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":"10 1","pages":"14-22"},"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}
Pub Date : 2013-03-01DOI: 10.3724/SP.J.1300.2013.20071
Chunsheng Li, Yang Wei, Pengbo Wang
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.
{"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":"2 1","pages":"111-122"},"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}
Pub Date : 2013-02-01DOI: 10.3724/SP.J.1300.2013.20057
Yanfei Han, R. Wu, Li Hai
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.
{"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":"1 1","pages":""},"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}
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