Pub Date : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048586
Jiabao Ding, Ya-chao Li, Y. Quan, Chunfeng Wu, Zongfu Wang, Haiwen Mei
Monosatic SAR can not image targets in forward direction due to the overlapping of the 2-D resolution directions. Then bistatic forward-looking SAR can aquire high resolution 2-D image in forward direction by placing transmitter and receiver on different platforms. The diving configuration of bistatic forward-looking SAR that the transmitter flies in a straight line and the receiver dive down can be realized for one of the bistatic platforms. Compared to the traditional airborne bistatic SAR, the receiver diving configuration has a more severe 2-D coupling, so imaging processing is more difficult. This paper analyzes the 2-D resolution of the special configuration, also range and doppler formula are determined based on the gradient theory, which are used to determine parameters that affect imaging ability. The accurate form of signal spectrum is obtained by the method of series reversion. Besides, an improve NCS algorithm is used to simulated and real bistatic data acquired from bistatic forward-looking SAR experiment. The results show the success of the experiment and the feasibility of the algorithm.
{"title":"Analysis of Diving Configuration Of Bistatic Forward-Looking SAR Based on Nonlinear Chirp Scaling Algorithm","authors":"Jiabao Ding, Ya-chao Li, Y. Quan, Chunfeng Wu, Zongfu Wang, Haiwen Mei","doi":"10.1109/APSAR46974.2019.9048586","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048586","url":null,"abstract":"Monosatic SAR can not image targets in forward direction due to the overlapping of the 2-D resolution directions. Then bistatic forward-looking SAR can aquire high resolution 2-D image in forward direction by placing transmitter and receiver on different platforms. The diving configuration of bistatic forward-looking SAR that the transmitter flies in a straight line and the receiver dive down can be realized for one of the bistatic platforms. Compared to the traditional airborne bistatic SAR, the receiver diving configuration has a more severe 2-D coupling, so imaging processing is more difficult. This paper analyzes the 2-D resolution of the special configuration, also range and doppler formula are determined based on the gradient theory, which are used to determine parameters that affect imaging ability. The accurate form of signal spectrum is obtained by the method of series reversion. Besides, an improve NCS algorithm is used to simulated and real bistatic data acquired from bistatic forward-looking SAR experiment. The results show the success of the experiment and the feasibility of the algorithm.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131816815","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048277
Jingwei Chen, Wen Wang, D. An, Zhimin Zhou
This paper presents a process of imaging airborne THz radar data based on RD(Range Doppler) Algorithm. Because of the motion error which would effect the imaging quality, this paper we adopt autofocus to compensate motion error. People usually use the motion parameters measured by GPS to compensate the motion error. However the precision of the motion parameters can not satisfy the requirement and the millimeter-band SAR is more sensitive to motion error, thus the traditional compensate method is not useful. To solve the problem people adopt autofocus. In this paper we adopt MDA(Map-Drift Algorithm) and PGA(Phase gradient autofocus) to compensate the motion error. And we make a comparison with the imaging result without autofocus and the imaging result with autofocus to examine the effect of autofocus.
{"title":"Airborne THz SAR Imaging Using RD Algorithm Integrated with Autofocus","authors":"Jingwei Chen, Wen Wang, D. An, Zhimin Zhou","doi":"10.1109/APSAR46974.2019.9048277","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048277","url":null,"abstract":"This paper presents a process of imaging airborne THz radar data based on RD(Range Doppler) Algorithm. Because of the motion error which would effect the imaging quality, this paper we adopt autofocus to compensate motion error. People usually use the motion parameters measured by GPS to compensate the motion error. However the precision of the motion parameters can not satisfy the requirement and the millimeter-band SAR is more sensitive to motion error, thus the traditional compensate method is not useful. To solve the problem people adopt autofocus. In this paper we adopt MDA(Map-Drift Algorithm) and PGA(Phase gradient autofocus) to compensate the motion error. And we make a comparison with the imaging result without autofocus and the imaging result with autofocus to examine the effect of autofocus.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131105594","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048426
Han-yang Xu, F. Xu, Yaqiu Jin
In order to meet different resolution requirements for different kinds of scenes, here a new SAR mode of operation named variable-resolution (VR) SAR is proposed, which involves diverse radiation pattern and dinstinct pulse repetition frequency (PRF) to realize a continuously agile resolution in azimuth direction. It borrows the principle of spotlight SAR that azimuth resolution is derived from corresponding synthetic aperture length and observation angle, namely every azimuth sampling point develops different beam pattern to illuminate certain region due to the synthetic aperture distributions in this system. Optimization of PRF has been conducted to obtain a relative larger swath width and a lessened sample data storages by making resolution of some unimportant and unconcerned details decline under the premise of no azimuth ambiguities. Driven by its specific properties, coding metasurface antenna is utilized to generate desired diverse pattern in real time, making VR SAR possible in practice. There are two potential advantages of the proposed imaging mode: 1) offers the higher resolution and larger image sizes than would otherwise be possible in stripmap and spotlight SAR modes and 2) reduces the pressure of data storages and brings a high imaging efficiency. The mathematical model of VR SAR system is bulit up and the feasibility is demonstrated through a series of simulations, as well as metrits. This VR SAR opens a new venue for earth observation, space-borne remote sensing and related SAR images processing, heading for agile frequencies, bandwidth and beyond.
{"title":"Variable-resolution SAR Imaging System Based on Coding Metasurface Antenna","authors":"Han-yang Xu, F. Xu, Yaqiu Jin","doi":"10.1109/APSAR46974.2019.9048426","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048426","url":null,"abstract":"In order to meet different resolution requirements for different kinds of scenes, here a new SAR mode of operation named variable-resolution (VR) SAR is proposed, which involves diverse radiation pattern and dinstinct pulse repetition frequency (PRF) to realize a continuously agile resolution in azimuth direction. It borrows the principle of spotlight SAR that azimuth resolution is derived from corresponding synthetic aperture length and observation angle, namely every azimuth sampling point develops different beam pattern to illuminate certain region due to the synthetic aperture distributions in this system. Optimization of PRF has been conducted to obtain a relative larger swath width and a lessened sample data storages by making resolution of some unimportant and unconcerned details decline under the premise of no azimuth ambiguities. Driven by its specific properties, coding metasurface antenna is utilized to generate desired diverse pattern in real time, making VR SAR possible in practice. There are two potential advantages of the proposed imaging mode: 1) offers the higher resolution and larger image sizes than would otherwise be possible in stripmap and spotlight SAR modes and 2) reduces the pressure of data storages and brings a high imaging efficiency. The mathematical model of VR SAR system is bulit up and the feasibility is demonstrated through a series of simulations, as well as metrits. This VR SAR opens a new venue for earth observation, space-borne remote sensing and related SAR images processing, heading for agile frequencies, bandwidth and beyond.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133499768","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048446
Tenglong Ke, Xiaolin Zhang, Yu Ni
The paper presents an incorporated design of slotted waveguide antenna mounted with radome. Due to the geometric complexity of the slot cut in the narrow wall of rectangular waveguide (WG) mounted with radome, it is a large work to strictly derive the admittance of the slot with coupling. A correct simulation module is developed that will yield the relatively accurate resonant conductance and length of the inclined angles. By use of this design method, an S-band array has been developed. The far-field test of the antenna beam pattern shows that the antenna achieves a horizontal side-lobe level of better than −30dB, and a low cross-polarization level of −45dB in the entire frequency band, indicating that the incorporated design method is very effective.
{"title":"Incorporated Design of Low Side-lobe Antenna with Inclined Slots in the Narrow Wall of Rectangular Waveguide Mounted With Radome","authors":"Tenglong Ke, Xiaolin Zhang, Yu Ni","doi":"10.1109/APSAR46974.2019.9048446","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048446","url":null,"abstract":"The paper presents an incorporated design of slotted waveguide antenna mounted with radome. Due to the geometric complexity of the slot cut in the narrow wall of rectangular waveguide (WG) mounted with radome, it is a large work to strictly derive the admittance of the slot with coupling. A correct simulation module is developed that will yield the relatively accurate resonant conductance and length of the inclined angles. By use of this design method, an S-band array has been developed. The far-field test of the antenna beam pattern shows that the antenna achieves a horizontal side-lobe level of better than −30dB, and a low cross-polarization level of −45dB in the entire frequency band, indicating that the incorporated design method is very effective.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132574013","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048314
W. Yuming, Jin Tian, L. Chaopeng
Aimed at the segmentation problem of ultrawideband synthetic aperture radar (UWB SAR) image, a novel algorithm based on polynomial analysis of statistical distribution is proposed in this letter. Firstly, we estimate the probability density function (PDF) for each pixel via sparse decomposition of which the dictionary consists of orthogonal polynomials (OP). Secondly, the weighting coefficients of corresponding OP are used to segment image using their maximum value. The experimental results validate the efficiency of this algorithm.
{"title":"UWB SAR image segmentation algorithm based on polynomial analysis of statistical distribution","authors":"W. Yuming, Jin Tian, L. Chaopeng","doi":"10.1109/APSAR46974.2019.9048314","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048314","url":null,"abstract":"Aimed at the segmentation problem of ultrawideband synthetic aperture radar (UWB SAR) image, a novel algorithm based on polynomial analysis of statistical distribution is proposed in this letter. Firstly, we estimate the probability density function (PDF) for each pixel via sparse decomposition of which the dictionary consists of orthogonal polynomials (OP). Secondly, the weighting coefficients of corresponding OP are used to segment image using their maximum value. The experimental results validate the efficiency of this algorithm.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133845312","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048266
Shuai-qi Zhang, Q. Yin, Jun Ni, Fan Zhang
Convolutional neural networks (CNN) have achieved great success in the optical image processing field. Hence, methods based on CNN are introduced into PolSAR image classification. Usually CNN needs a lot of training samples, but the cost of collecting ground truth data and making labels is very high. Our goal is to increase training samples by repeating learning processes with small sample learning technique. The proposed method used in this study is CNN and conditional random fields(CRF), which combines the structured modeling ability of CRF and the feature extraction advantage of CNN. On base of CNN and CRF, the framework of small sample learning is developed. The experimental data are two AIRSAR datasets. The paper will analyze the appropriate ratio of samples for small sample learning in the whole dataset. The results show that for these two data sets, when the ratio is 0.5%, small sample learning can achieve very high classification accuracy. It is similar to the accuracy of other methods which need at least 3% samples for training.
卷积神经网络(CNN)在光学图像处理领域取得了巨大的成功。因此，将基于CNN的方法引入到PolSAR图像分类中。通常CNN需要大量的训练样本，但是收集地面真值数据和制作标签的成本非常高。我们的目标是通过使用小样本学习技术重复学习过程来增加训练样本。本文提出的方法是CNN和条件随机场(conditional random field, CRF)，结合了CRF的结构化建模能力和CNN的特征提取优势。在CNN和CRF的基础上，提出了小样本学习框架。实验数据为两个AIRSAR数据集。本文将分析整个数据集中适合小样本学习的样本比例。结果表明，对于这两个数据集，当比例为0.5%时，小样本学习可以获得非常高的分类准确率。这与其他至少需要3%样本进行训练的方法的准确率相似。
{"title":"PolSAR image classification with small sample learning based on CNN and CRF","authors":"Shuai-qi Zhang, Q. Yin, Jun Ni, Fan Zhang","doi":"10.1109/APSAR46974.2019.9048266","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048266","url":null,"abstract":"Convolutional neural networks (CNN) have achieved great success in the optical image processing field. Hence, methods based on CNN are introduced into PolSAR image classification. Usually CNN needs a lot of training samples, but the cost of collecting ground truth data and making labels is very high. Our goal is to increase training samples by repeating learning processes with small sample learning technique. The proposed method used in this study is CNN and conditional random fields(CRF), which combines the structured modeling ability of CRF and the feature extraction advantage of CNN. On base of CNN and CRF, the framework of small sample learning is developed. The experimental data are two AIRSAR datasets. The paper will analyze the appropriate ratio of samples for small sample learning in the whole dataset. The results show that for these two data sets, when the ratio is 0.5%, small sample learning can achieve very high classification accuracy. It is similar to the accuracy of other methods which need at least 3% samples for training.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133719861","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048548
Liwu Wen, Chao Zhong, Xuejun Huang, Jinshan Ding
This paper presents a sea clutter suppression (SCS) method for single-channel maritime radar based on a deep Convolutional Neural Network (SCS-CNN), which consists of an encoder and a decoder. First, the encoder is used to extract depth features of the original Range-Doppler spectrum obtained from sub-aperture echoes. Second, the decoder is used to selectively reconstruct the desired Range-Doppler spectrum which only contains the moving targets. Finally, the results of moving target detection are obtained by using the cell average constant false alarm rate detector. This method effectively suppresses the sea clutter and correctly indicates the moving targets under different Signal-to-Clutter-plus-Noise Ratios with low false alarm rate. Particularly, it has good feature extraction and reconstruction abilities for the moving targets whose Doppler is inside the mainlobe clutter.
{"title":"Sea Clutter Suppression Based on Selective Reconstruction of Features","authors":"Liwu Wen, Chao Zhong, Xuejun Huang, Jinshan Ding","doi":"10.1109/APSAR46974.2019.9048548","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048548","url":null,"abstract":"This paper presents a sea clutter suppression (SCS) method for single-channel maritime radar based on a deep Convolutional Neural Network (SCS-CNN), which consists of an encoder and a decoder. First, the encoder is used to extract depth features of the original Range-Doppler spectrum obtained from sub-aperture echoes. Second, the decoder is used to selectively reconstruct the desired Range-Doppler spectrum which only contains the moving targets. Finally, the results of moving target detection are obtained by using the cell average constant false alarm rate detector. This method effectively suppresses the sea clutter and correctly indicates the moving targets under different Signal-to-Clutter-plus-Noise Ratios with low false alarm rate. Particularly, it has good feature extraction and reconstruction abilities for the moving targets whose Doppler is inside the mainlobe clutter.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124134703","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048362
Cheng Zhao, Zheng Liu, Lei Ran, R. Xie
This paper studies the three-dimensional imaging method for tomography synthetic aperture radar (Tomo-SAR) on accelerated motion platforms operating in highly squinted imaging mode. A new method using the nonuniform fast factorized back-projection (NUFFBP) algorithm is proposed to tackle the accelerated issue. The elevation resolution is achieved by utilizing array antenna in this paper. The compressive sensing (CS) theory is adopted to achieve the super-resolution in elevation direction. The SAR imageries in the range and azimuthal directions, combined with the elevation resolution, construct the three-dimensional (3-D) SAR image. Simulated data results show the good performance of the method.
{"title":"3-D Imaging Methods for Highly Squinted Tomo-SAR on Accelerated Motion Platform","authors":"Cheng Zhao, Zheng Liu, Lei Ran, R. Xie","doi":"10.1109/APSAR46974.2019.9048362","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048362","url":null,"abstract":"This paper studies the three-dimensional imaging method for tomography synthetic aperture radar (Tomo-SAR) on accelerated motion platforms operating in highly squinted imaging mode. A new method using the nonuniform fast factorized back-projection (NUFFBP) algorithm is proposed to tackle the accelerated issue. The elevation resolution is achieved by utilizing array antenna in this paper. The compressive sensing (CS) theory is adopted to achieve the super-resolution in elevation direction. The SAR imageries in the range and azimuthal directions, combined with the elevation resolution, construct the three-dimensional (3-D) SAR image. Simulated data results show the good performance of the method.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116022324","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048352
Yongwei Zhang, Y. Bu, Yongchao Zhang, Shuo Zhang, Yin Zhang, Yulin Huang
For multiple input multiple output (MIMO) radar, the angle resolution cannot be changed after designed and manufactured. To solve this problem, this paper proposes a scheme of combining multiple radio frequency (RF) boards, which can quickly improve the angle resolution of MIMO radar without expensive cost of resuming production. The combined radar system model and aperture synthesis method are analyzed, and a hardware system including functional modules such as RF boards, data capture boards and signal processing boards is designed to implement this scheme. Experiment and real data processing results are presented to demonstrate the effectiveness of the proposed method and hardware implementation.
{"title":"Collaboratively-working Multi - MIMO Radar: Approach and Hardware Implementation","authors":"Yongwei Zhang, Y. Bu, Yongchao Zhang, Shuo Zhang, Yin Zhang, Yulin Huang","doi":"10.1109/APSAR46974.2019.9048352","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048352","url":null,"abstract":"For multiple input multiple output (MIMO) radar, the angle resolution cannot be changed after designed and manufactured. To solve this problem, this paper proposes a scheme of combining multiple radio frequency (RF) boards, which can quickly improve the angle resolution of MIMO radar without expensive cost of resuming production. The combined radar system model and aperture synthesis method are analyzed, and a hardware system including functional modules such as RF boards, data capture boards and signal processing boards is designed to implement this scheme. Experiment and real data processing results are presented to demonstrate the effectiveness of the proposed method and hardware implementation.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116241518","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 : 2019-11-01DOI: 10.1109/APSAR46974.2019.9048527
Zuobang Zhou, Rongzhen Du, Lei Liu, Feng Zhou
Based on the inverse synthetic aperture radar image sequence of triaxial stabilized space targets, a novel method of three dimensional (3D) geometry reconstruction for space targets is proposed. We firstly construct the projection vectors connecting the 3D geometry and the 2D ISAR image sequence of a space target by utilizing ISAR imaging model and the radar line of sight (LOS). Then, by projecting the 3D scatterer candidates onto each imaging plane, we can accumulate the energy of the corresponding 2D scatterer in each image. The 3D scatterer candidates occupying larger accumulation energy are reserved as the real parts of the space target. Particle swarm optimization algorithm is applied to search the true 3D scatterers with high efficiency. The innovation of the proposed method lies in that it never needs the 2D scatterer extraction and association, which simplifies the reconstruction algorithm greatly compared with traditional 3D geometry reconstruction methods. Finally, experimental results based on the simulated point target are presented to validate the effectiveness and robustness of the proposed method.
{"title":"A Novel Method of Three-Dimensional Geometry Reconstruction of Space Targets Based on the ISAR Image Sequence","authors":"Zuobang Zhou, Rongzhen Du, Lei Liu, Feng Zhou","doi":"10.1109/APSAR46974.2019.9048527","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048527","url":null,"abstract":"Based on the inverse synthetic aperture radar image sequence of triaxial stabilized space targets, a novel method of three dimensional (3D) geometry reconstruction for space targets is proposed. We firstly construct the projection vectors connecting the 3D geometry and the 2D ISAR image sequence of a space target by utilizing ISAR imaging model and the radar line of sight (LOS). Then, by projecting the 3D scatterer candidates onto each imaging plane, we can accumulate the energy of the corresponding 2D scatterer in each image. The 3D scatterer candidates occupying larger accumulation energy are reserved as the real parts of the space target. Particle swarm optimization algorithm is applied to search the true 3D scatterers with high efficiency. The innovation of the proposed method lies in that it never needs the 2D scatterer extraction and association, which simplifies the reconstruction algorithm greatly compared with traditional 3D geometry reconstruction methods. Finally, experimental results based on the simulated point target are presented to validate the effectiveness and robustness of the proposed method.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116246860","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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