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2021 2nd China International SAR Symposium (CISS)最新文献

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Coprime Synthetic Aperture Radar Tomography 合成孔径雷达断层扫描
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652324
Longlong Yu, Xiaotao Huang, Dong Feng, Jian Wang
{"title":"Coprime Synthetic Aperture Radar Tomography","authors":"Longlong Yu, Xiaotao Huang, Dong Feng, Jian Wang","doi":"10.23919/CISS51089.2021.9652324","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652324","url":null,"abstract":"This paper presents a synthetic aperture radar tomography (TomoSAR) technique able to reduce the number of acquisitions and, at the same time, to achieve super-resolution performance. The technique consists of a new baseline geometry and of a tailored reconstruction method. The new baseline is configured according to the coprime array geometry. Naturally, we name the proposed technique as the \"coprime TomoSAR\". The coprime acquisition mode requires fewer acquisitions than the uniform one for obtaining the same baseline aperture. To further improve tomographic resolution and to reject ambiguity problem induced by sparsely sampling of the coprime acquisition mode, we perform the tomographic reconstruction using the root-multiple signal classification (Root-MUSIC) algorithm. More important is that the Root-MUSIC algorithm can exploit the difference co-baseline in the tomographic reconstruction process. The exploition of the difference co-baseline ensures that the coprime TomoSAR provides comparable tomographic performance to the uniform TomoSAR when the two TomoSAR have the same baseline aperture length. This is validated by simulation experiments.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123303272","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
Sea-land Segmentation in Polarimetric SAR Images 极化SAR图像的海陆分割
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652256
Ziqian Ma, Rui Zhang, Wei Yang
{"title":"Sea-land Segmentation in Polarimetric SAR Images","authors":"Ziqian Ma, Rui Zhang, Wei Yang","doi":"10.23919/CISS51089.2021.9652256","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652256","url":null,"abstract":"With the development of SAR technology, quad-pol SAR has been utilized for multiple scenarios for its rich polarization information. To verify the potential of quad-pol SAR in the sea-land segmentation assignment, we adopt superpixel, random forest, and UNet neural networks from the perspective of methods. Based on the dataset produced from Gaofen-3 quad-pol SAR images, experimental results show that multi-polarization information can improve the sea-land segmentation accuracy under the same algorithm. Besides, the UNet method has a better performance than superpixel and random forest on both accuracy and time consumption.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130672876","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
High Resolution DOA Estimation Algorithm for Underdetermined Quasi-stationary Signals 欠定准平稳信号的高分辨率DOA估计算法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652366
Liangjun Zhang, Xin Zheng, Changyong Chen, Jiwei Tang, Jingxiao Li, Z. Feng
{"title":"High Resolution DOA Estimation Algorithm for Underdetermined Quasi-stationary Signals","authors":"Liangjun Zhang, Xin Zheng, Changyong Chen, Jiwei Tang, Jingxiao Li, Z. Feng","doi":"10.23919/CISS51089.2021.9652366","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652366","url":null,"abstract":"In this paper, a high resolution Direction of Arrival (DOA) estimation algorithm based on Khatri-Rao product and PARAFAC decomposition was proposed for a linear array time-delay underdetermined hybrid model of quasi-stationary signals. First, the algebraic structure of quasi stationary signal is used to form the Khatri-Rao(KR) subspace underdetermined blind identification problem. Then, the number of sources and initial value for iteration are estimated using subspace method for improving the estimation accuracy and iteration speed. Finally, the optimal search step linear search iterative least squares method is applied to realize the PARAFAC decomposition, and achieving the DOA estimation of multiple signals. The experimental results show that the proposed algorithm can achieve the higher resolution DOA estimation in the underdetermined hybrid model, especially in the case of low SNR and multi-target condition which has closing incoming directions.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131071430","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 Coastal Clutter and Its Azimuth Ambiguity Suppression Method for SAR Images SAR图像海岸杂波及其方位模糊抑制方法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652371
Hanxi Zhao, R. Lv, Jian Shen, Qiuhua Jiang, Meijing Jiao, Ye Wu
{"title":"A Coastal Clutter and Its Azimuth Ambiguity Suppression Method for SAR Images","authors":"Hanxi Zhao, R. Lv, Jian Shen, Qiuhua Jiang, Meijing Jiao, Ye Wu","doi":"10.23919/CISS51089.2021.9652371","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652371","url":null,"abstract":"In Synthetic Aperture Radar (SAR) images, azimuth ambiguity is an important factor affecting image quality. Azimuth Doppler spectrum is theoretically an infinite spectrum that is not limited by bandwidth. Due to azimuth sampling, the spectrum part larger than the pulse repetition frequency is folded into a pulse repetition frequency (PRF), so it is difficult to find a solution to remove it completely using traditional methods. Especially in ocean images, the azimuth ambiguity caused by strongly scattered land, island or ship targets will affect the detection of sea targets. Aiming at the problem of loss of azimuth resolution and missing alarm caused by the coverage of target information on the sea surface while suppressing azimuth ambiguity, this paper proposes a coastal clutter and its azimuth ambiguity suppression method for SAR Images, which using SAR sensors to re-navigate the same area to obtain multi-temporal SAR images. At the same time, according to the dynamic characteristics of the sea surface, spatial frequency domain filtering and ideal filter methods are combined to complete the removal of near-coast ground clutter and azimuth ambiguity.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132940040","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
Hankel Matrix Completion Approach for High-resolution ISAR Imaging with Sparse Aperture 稀疏孔径高分辨率ISAR成像的Hankel矩阵补全方法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652261
Bangjie Zhang, Gang Xu, Lizhong Jiang, Rui Zhou, Yanyang Liu, Jialian Sheng
{"title":"Hankel Matrix Completion Approach for High-resolution ISAR Imaging with Sparse Aperture","authors":"Bangjie Zhang, Gang Xu, Lizhong Jiang, Rui Zhou, Yanyang Liu, Jialian Sheng","doi":"10.23919/CISS51089.2021.9652261","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652261","url":null,"abstract":"Inverse synthetic aperture radar (ISAR) imaging is very challengeable when facing with sparse aperture (SA). Traditional compressive sensing (CS) methods handles the SA imaging problem using sparse representation, but will cause model mismatch inherently. In this paper, a Hankel matrix completion (HMC) approach is proposed for SA ISAR imaging, which can effectively enhance the imaging performance with grid-less technique. The Hankel matrices are constructed from the SA echo in each range bin. After the low-rank property is proved, an MC method based on an augmented Lagrange multiplier (ALM) solution is used to reconstruct the cross-range profile. The proposed method based on the low-rank constraint can avoid the presupposition of over complete basis, thus effectively overcoming the off-grid effect of CS methods. The robustness and effectiveness are further vali-dated using experimental analysis using measured data.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130965113","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
An improved beamforming method with low computational load 一种低计算负荷的改进波束形成方法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652275
Wang Ping, Tang Jiwei, Liu Wenjia, Cui Jie, Zhang LiangJun, Lu YuZhou
{"title":"An improved beamforming method with low computational load","authors":"Wang Ping, Tang Jiwei, Liu Wenjia, Cui Jie, Zhang LiangJun, Lu YuZhou","doi":"10.23919/CISS51089.2021.9652275","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652275","url":null,"abstract":"Excellent bearing estimation performance beamforming algorithms often require feature decomposition of the spatial covariance matrix, so the amount of calculation is relatively large. In order to reduce the computational complexity, an improved beamforming method with low computational complexity is proposed. This method is based on the traditional HBF(Hyper Beamfoming), only by modifying the \"sum-beam\" directivity function, without adding additional calculations, using nth order calculation to obtain excellent bearing estimation. Simulation results show that this method has a narrower main lobe, lower side lobe, and stronger endfire suppression, which effectively reduces the reception interference and improves the signal detection performance. In addition, the improved super-resolution beamforming method has wider applicability to the index n.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133516819","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
Using SURE Principle for Adaptive Nonlocal Filtering of InSAR Phase Imagery 基于SURE原理的InSAR相位图像自适应非局部滤波
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652299
Gao Yuxin, Guo Rui, Jiang Zheyi, Zhang Zhao, Zhao Xiaopeng, Zhi Yongfeng
{"title":"Using SURE Principle for Adaptive Nonlocal Filtering of InSAR Phase Imagery","authors":"Gao Yuxin, Guo Rui, Jiang Zheyi, Zhang Zhao, Zhao Xiaopeng, Zhi Yongfeng","doi":"10.23919/CISS51089.2021.9652299","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652299","url":null,"abstract":"Interferometric phase filtering is a crucial step in the processing of interferometric synthetic aperture radar (InSAR). However, traditional filters fail to strike a balance between the noise reduction and detail preservation. This paper proposed a refined version of nonlocal filter with adaptive filtering parameter selected by the Stein’s unbiased risk estimate (SURE), which can effectively reduce the InSAR phase noise with the fringe patterns and edges preserved. Experiments on both simulated and real data sets are performed to validate the effectiveness of the proposed method.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132492755","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
Research on Cooperative Detection Technology of Networked Radar Based on Data Fusion 基于数据融合的网络化雷达协同检测技术研究
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652376
Wenbiao Jiang, Zhangxing Qi, Zhou Ye, Yachun Wan, Li Li
{"title":"Research on Cooperative Detection Technology of Networked Radar Based on Data Fusion","authors":"Wenbiao Jiang, Zhangxing Qi, Zhou Ye, Yachun Wan, Li Li","doi":"10.23919/CISS51089.2021.9652376","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652376","url":null,"abstract":"With the development of science and technology, the electronic warfare environment is becoming increasingly complicated, making the traditional combat platform relying on a single radar no longer meet the needs of air defense in modern battlefield. In order to solve this problem, this paper proposes a cooperative detection technology of networked radar based on data fusion. Through multi-radar cooperative combat and multi-source radar data fusion, the resource sharing and functional complementarity between the radars in the network are realized, and the overall combat effectiveness of radar system is effectively improved. Simulation results show that the cooperative detection technology of networked radar based on data fusion can not only expand the space-time coverage of radar monitoring, but also improve the detection and tracking performance of radar system, so it is of great significance in improving the overall combat effectiveness.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993021","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
Ship Detection Method Based on Frequency Enhanced MSER For High Resolution SAR Image 基于频率增强MSER的高分辨率SAR图像舰船检测方法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652304
Kun Sun, Liangting Ma, Fei Wang, Yi Liang
{"title":"Ship Detection Method Based on Frequency Enhanced MSER For High Resolution SAR Image","authors":"Kun Sun, Liangting Ma, Fei Wang, Yi Liang","doi":"10.23919/CISS51089.2021.9652304","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652304","url":null,"abstract":"Synthetic aperture radar (SAR) ship detection is an important part of marine monitoring. With the development of SAR, traditional constant false alarm rate (CFAR) detectors suffer from multiscale situation. To solve this problem and achieve better performs, a ship detection method based on frequency enhanced MSER for high resolution SAR image is proposed in this paper. First, a frequency saliency method is used to enhance the contrast between ship targets and sea background. Then, candidate regions are proposed by the MSER method. Finally, generalized Gamma distribution ( GΓD ) is utilized to complete precise detection results. Experimental results demonstrate the effectiveness of the proposed method.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"606 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116389594","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: 3
Distributed Spaceborne SAR Echo Time Delay Fast Algorithm 分布式星载SAR回波时延快速算法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652343
Chengxin Zheng, Jinqiang Zhang, Meilan Li, Xiaosen Dai, Jianwei Chen, Junhao Liu
{"title":"Distributed Spaceborne SAR Echo Time Delay Fast Algorithm","authors":"Chengxin Zheng, Jinqiang Zhang, Meilan Li, Xiaosen Dai, Jianwei Chen, Junhao Liu","doi":"10.23919/CISS51089.2021.9652343","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652343","url":null,"abstract":"In the traditional spaceborne SAR echo simulation, the echo acquisition is based on the ‘stop-go’ assumption. ‘Stop-go’ assumption is widely used in SAR data processing, which means radar sends a pulse, receives it, and then moves to the next position. Due to the high speed of the platform and the long echo time delay, the variation of slant range by the satellite motion cannot be ignored, and the echo acquisition geometry cannot be simply regarded as the \"stop-go\" mode. In this paper, the echo time delay error and influence under the \"stop-go\" assumption of spaceborne SAR echo simulation are analyzed, and a fast distributed spaceborne SAR echo time delay algorithm is proposed by analyzing the echo acquisition geometry in none \"stop-go\" mode.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116431999","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
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