Jie Liu, W. Tan, Pingping Huang, W. Xu, Zhiqi Gao, Chufeng Hu
{"title":"Analysis of the Backscattering of Power Lines at Millimeter-Wave Frequencies","authors":"Jie Liu, W. Tan, Pingping Huang, W. Xu, Zhiqi Gao, Chufeng Hu","doi":"10.1109/APSAR46974.2019.9048473","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048473","url":null,"abstract":"The detection of high-voltage power lines plays an important role in helicopter flight safety. Firstly, geometric model of high voltage power lines is established, and its Bragg scattering characteristics are introduced through theoretical analysis. Then, Radar Cross Section (RCS) of the high voltage line is simulated in millimeter wave band, and the Bragg scattering pattern is obtained, Bragg scattering characteristics of the high voltage line varying with frequency are analyzed. Finally, we compare full polarization scattering characteristics of the high voltage power line at 35 GHz with 94 GHz, and analyze the reflection characteristics of circular polarized waves by cylinders and high voltage lines.","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":"129724896","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}
{"title":"Two-dimensional Autofocus for SAR Filtered Backprojection Imagery","authors":"X. Mao, Tianyue Shi, Lan Ding","doi":"10.1109/APSAR46974.2019.9048354","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048354","url":null,"abstract":"Filtered backprojection (FBP) algorithm is a popular choice for nonlinear trajectory SAR image formation processing. However, how to efficiently autofocus the defocused FBP imagery is still a challenging problem. In this paper, a new interpretation of the FBP derivation is presented. Then, by incorporating the a priori knowledge on the 2-D phase error, an accurate and efficient 2-D autofocus approach is proposed. The new approach possesses much higher accuracy and efficiency than conventional blind methods. Experimental results clearly demonstrate the effectiveness and robustness of the proposed method.","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":"129289376","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}
{"title":"Development of Integrated Electronic System for SAR based on UAV","authors":"J. Gong","doi":"10.1109/APSAR46974.2019.9048480","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048480","url":null,"abstract":"Unmanned Aerial Vehicle (UAV) has been taken seriously by all the mighty military countries since it birthed. Synthetic Aperture Radar (SAR) has become one of the most important payload for UAV due to its good performance. In this context, this paper designs a standard embedded parallel UAV borne SAR Integrated Electronic system with multi functional modules integrated, Introduced the radar integrated electronic system and key module design universality, highly real-time and good scalability by using the standard 3U VPX architecture and the star topology based on the switch chips for the flexible interaction of data, Use results indicate it is suitable for small and light unmanned flight platforms.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"114 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":"128276485","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}
Zhang Xin, Liu Bo, Liu Guangting, Lin Chenchen, Nie Shikang, Liu Xin
{"title":"Echo simulation method of ship target for Geosynchronous SAR","authors":"Zhang Xin, Liu Bo, Liu Guangting, Lin Chenchen, Nie Shikang, Liu Xin","doi":"10.1109/apsar46974.2019.9048584","DOIUrl":"https://doi.org/10.1109/apsar46974.2019.9048584","url":null,"abstract":"The trajectory for the geosynchronous synthetic aperture radar (GEO SAR) is complicated and the ship target moving combines not only translational motion but also 3-D rotate with the different state of the sea, the echo simulation of ship target in the unified coordinate system be-come a vital problem. A new method for the echo simulation in the ship coordinate system is presented. This meth-od can simulate the real geometry of satellite and earth; ship moving, as well as the rotate (yaw, pitch, roll) in dif-ferent state of the sea. The effectiveness is verified through theoretical and simulation of ISAR imaging. It is a foundation in following the imaging of the ship target for GEO SAR.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"4 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":"131302131","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}
Jinyu Bao, Xiaoling Zhang, Xinxin Tang, Jun Shi, Shunjun Wei
{"title":"SAR-GMTI for Slow Moving Target Based on Neural Network","authors":"Jinyu Bao, Xiaoling Zhang, Xinxin Tang, Jun Shi, Shunjun Wei","doi":"10.1109/APSAR46974.2019.9048489","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048489","url":null,"abstract":"As an important applications of synthetic aperture radar (SAR), slow moving target detection is causing more concern from people. Commonly, with the increase of computer computational efficiency and utilization of GPU, convolutional neural network has been becoming an efficient approach for target detection and classification. Here we propose a method using Faster R-CNN to detect the slow moving target in SAR images. When using existing datasets to detect moving targets, the detection accuracy is low due to the small defocusing of slow moving targets. So we use the bidirectional imaging mode to create the dataset. By increasing the displacement, it is more conducive to detect slow moving targets. At the same time, neural network provides a feasible way for target detection in this mode. In order to close to the reality echo, we use FEKO to simulate the target echo and use measured ground data to generate the ground echo. Deep learning combined with the forward and backward beams can detect slow moving target more effectively. The simulation results validate the effectiveness of the proposed method.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"105 2 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":"131315963","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}
{"title":"InSAR DEM Reconstruction Based on Backprojection Algorithm in Two Converse Flights","authors":"Xiaoning Hu, M. Xiang, Bingnan Wang, Xikai Fu","doi":"10.1109/APSAR46974.2019.9048258","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048258","url":null,"abstract":"Interferometric synthetic aperture radar (InSAR) can be used to extract digital elevation model (DEM) with high accuracy. However, the side looking geometry of synthetic aperture radar (SAR) may cause geometric distortions such as shadow and layover in the mountainous terrain, which will reduce the quality of generated DEM. Fusion of two or more different aspects of InSAR data can deal with this problem. We propose an InSAR DEM reconstruction method based on backprojection (BP) algorithm in two converse flights. This method utilizes the feature of BP algorithm that geocoding has been realized in imaging process to simplify the fusion process of multi-aspect InSAR data. In addition, an iterative DEM extraction method is introduced to improve DEM accuracy. Experimental results verify the effectiveness of the proposed method.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"44 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":"131503634","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}
Chenwei Wang, Jifang Pei, Rufei Wang, Yulin Huang, Jianyu Yang
{"title":"A new ship detection and classification method of spaceborne SAR images under complex scene","authors":"Chenwei Wang, Jifang Pei, Rufei Wang, Yulin Huang, Jianyu Yang","doi":"10.1109/APSAR46974.2019.9048382","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048382","url":null,"abstract":"Satellite remote sensing technology has always received wide attention for its developing performance of earth observation. Ship detection and classification based on spaceborne SAR images has been an attractive and intractable topic because the wide sea area is too complex to detect and classify all the objective ships. In this paper, a new ship detection and classification method for complex sea surface is presented. It adopts the visual saliency detection method based on spectral residual to obtain the locations of the regions of interest(ROIs) containing ships. And the morphology filter is employed to exclude a part of false alarm targets (FATs). Then, the types of the ships are classified based on convolution neural network (CNN). Finally, the locations and types of ships in large sea SAR images are acquired. Experimental results based on measured spaceborne SAR images have shown the effectiveness and accuracy of the proposed method.","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":"130075243","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}
{"title":"Simulation Technology of Spaceborne SAR Reconnaissance Effeciency","authors":"Hao Wu","doi":"10.1109/APSAR46974.2019.9048322","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048322","url":null,"abstract":"SAR (Synthetic Aperture Radar) satellites can perform reconnaissance on specific areas in all directions. Generally speaking, the scope of reconnaissance is smaller than that of passive reconnaissance. Therefore, orbit and constellation design are more important. Here we use the maximum coverage gap to measure the reconnaissance efficiency of the SAR satellite constellation and the simulation technology is studied. The results show that the change of orbital inclination has a great influence on the maximum revisit interval. The visible range of SAR satellite has a great influence on the maximum revisit interval, as well as the number of orbital planes. Based on this method, the simulation of the space-borne SAR is carried out. The orbit design and optimization of reconnaissance mission design scheme can provide a convenient and effective support platform for the simulation analysis of space-borne SAR missions.","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":"115990616","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}
Yu Guo, Wei Yang, Jie Chen, Chunsheng Li, Xiaokun Sun
{"title":"A phase-preserving imaging algorithm for azimuth multi-channel spaceborne SAR data processing","authors":"Yu Guo, Wei Yang, Jie Chen, Chunsheng Li, Xiaokun Sun","doi":"10.1109/APSAR46974.2019.9048268","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048268","url":null,"abstract":"Azimuth multi-channels is widely used for high-resolution and wide-swath recently, especially for the purpose of interferometry processing. However, due to the reconstruction of non-uniformly azimuth signal, the classical phase-preserving algorithm does not work well. In this paper, a phase-preserving imaging algorithm for azimuth multi-channel spaceborne SAR data processing is proposed. Firstly, combined with the reconstruction operation, the effect on phase-preserving accuracy is analyzed in detail, with the discussion of the equivalent phase center position. Then, the novel phase-preserving algorithm is addressed, which can accurately compensate the phase errors, including the constant phase term, the linear phase term introduced by the shifting zero-Doppler frequency, the residual cubic phase error along range direction, and the nonuniform sampling phase error after range-compression. Finally, simulation results verify the effectiveness of the proposed algorithm.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"48 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":"122474504","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}
Junying Yang, Xiaolan Qiu, L. Zhong, C. Ding, Lijia Huang, H. Chen
{"title":"Unambiguous Imaging for Moving Targets in Maritime Scenarios with Dual Receive Channel Mode of GF-3 Satellite","authors":"Junying Yang, Xiaolan Qiu, L. Zhong, C. Ding, Lijia Huang, H. Chen","doi":"10.1109/APSAR46974.2019.9048305","DOIUrl":"https://doi.org/10.1109/APSAR46974.2019.9048305","url":null,"abstract":"Gaofen-3 (GF-3) is the first Chinese multichannel synthetic aperture radar (SAR) sensor that can operate in the dual receive channel (DRC) mode. Different from the traditional single-channel SAR system, the multichannel SAR system can overcome the inherent limitation to achieve high-resolution and wide-swath (HRWS) at the same time. However, the key challenge it faces is false target suppression. Especially for the moving vessels on the ocean, the existence of false targets will increase false alarm probability and affect the interpretation of SAR images. In this paper, the method of integration of detection, velocity estimation, location, and imaging for moving targets in the HRWS SAR system is proposed as well as applied to get an unambiguous image. The simulation and GF-3 real data experimental results show the validity of the method.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"30 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":"122926258","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}