发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Development of a Novel Low Profile Receiving Module in Ku-band and Integrated Antenna 一种新型ku波段集成天线低轮廓接收模块的研制
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652203
Fan Yang, Yafei Shen, Hongying Zhang, Guilian Chen, Z. Mo
{"title":"Development of a Novel Low Profile Receiving Module in Ku-band and Integrated Antenna","authors":"Fan Yang, Yafei Shen, Hongying Zhang, Guilian Chen, Z. Mo","doi":"10.23919/CISS51089.2021.9652203","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652203","url":null,"abstract":"In order to meet the needs of high-performance active phased arrays, a new type of 64-channel dual-polarized low profile receiver module in the Ku frequency band with a Z-axis profile thickness only 13mm was designed, by using micro-assembly technology. Antenna is integrated on the back of the module, which can greatly reduces the size of the RF transmission direction of the terminal module. The radio frequency signal at the antenna end is interconnected with the microwave substrate through gold wire bonding. The test results of one hundred and twenty-eight polarized RF channels are consistent cover the design indicators, the noise figure of the receiving link is less than 4dB, the single-polarized channel gain is tested around -10dB, so the total gain of the module is greater than 27dB. The component weight is less than 200g, and the component size is 96mm*96mm*13mm.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"47 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":"130272652","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
Research on Optimal Design of Spaceborne SAR Real-time Imaging Technology Based on FPGA 基于FPGA的星载SAR实时成像技术优化设计研究
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652308
Muhui Cai, Hui Wang, Wei Hua
{"title":"Research on Optimal Design of Spaceborne SAR Real-time Imaging Technology Based on FPGA","authors":"Muhui Cai, Hui Wang, Wei Hua","doi":"10.23919/CISS51089.2021.9652308","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652308","url":null,"abstract":"With the continuous improvement of requirements in spaceborne SAR imaging technology, Spaceborne SAR real-time imaging processing system based on FPGA has become a method to realize the rapid real-time imaging of spaceborne SAR. The paper conducts a feasibility study on spaceborne SAR real-time imaging technology. Based on the current development and status of spaceborne SAR real-time imaging technology, a feasible research direction and technical route are proposed. In terms of hardware, the real-time imaging algorithm is implemented in an FPGA by reconstructing the FPGA hardware architecture. In terms of software algorithm, based on the traditional CS imaging algorithm, the algorithm is further optimized for different scenarios, which is more suitable for improved algorithms for hardware applications.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"25 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":"134444340","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
Real-time Imaging Algorithm for High-Squint Maneuvering-Platform SAR 高斜视机动平台SAR实时成像算法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652269
Huiting Xia, Jinqiang Zhang, C. Fu, Haitao Wang
{"title":"Real-time Imaging Algorithm for High-Squint Maneuvering-Platform SAR","authors":"Huiting Xia, Jinqiang Zhang, C. Fu, Haitao Wang","doi":"10.23919/CISS51089.2021.9652269","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652269","url":null,"abstract":"Maneuvering-platform SAR imaging is a long-term research hotspot in the field of microwave imaging and precise guidance. In practice, the maneuvering-platform movement may change rapidly and violently, so it is convenient to use sub-aperture imaging mode and the auxiliary information from INS onboard to realize the real-time imaging of maneuvering-platform SAR. First, the inertial data is employed to estimate the Doppler parameters of the burst echoes. The acceleration measured by INS is utilized to compensate the error caused by the approximate constant acceleration of the platform through azimuth dechirping. Then the ECS algorithm for sub-aperture imaging is introduced to complete the pre-processing of the burst data. Finally, the burst image is acquired by multilooking. The imaging scheme considers the impact of acceleration on maneuvering-platform SAR imaging, and it is simple to be actualized and significantly reduces the computation load based on the conventional ECS algorithm, which is suitable for real-time imaging applications.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"38 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132575253","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
SAR Image Segmentation and Target Detection Based on Mathematical Morphology 基于数学形态学的SAR图像分割与目标检测
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652306
Mingxi Xiao, Hui Wang, Zhaoyang Zeng, Yuxuan Bie
{"title":"SAR Image Segmentation and Target Detection Based on Mathematical Morphology","authors":"Mingxi Xiao, Hui Wang, Zhaoyang Zeng, Yuxuan Bie","doi":"10.23919/CISS51089.2021.9652306","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652306","url":null,"abstract":"Mathematical morphology provides a method of image processing based on the concept of shape in set theory rather than standard mathematical modeling and analysis, especially when dealing with image processing problems including edge detection, image filtering, feature extraction, and image segmentation. The advantages of using the mathematical morphology method are evident. Using mathematical morphology methods for image segmentation and target detection to aim at specified targets in SAR pictures such as buildings,high-voltage towers, and so on, based on mathematical morphology theory research. To begin, pre-filter the original SAR image to reduce some of the image's noise. The image is then binarized utilizing mathematical morphological processes such as erosion, dilation, opening, and closing. Various forms can be used depending on the target's shape. The image is segmented using morphological operators. Finally,the segmentation findings are used to perform target extraction and detection, with good results for buildings, high-voltage towers, and other objects in the SAR image.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"32 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":"115206649","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 Novel Multi-Scale CNN Model for Crop Classification with Time-Series Fully Polarization SAR Images 基于时间序列全极化SAR图像的农作物分类多尺度CNN模型
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652315
Wei-Tao Zhang, Min Wang, Jiao Guo
{"title":"A Novel Multi-Scale CNN Model for Crop Classification with Time-Series Fully Polarization SAR Images","authors":"Wei-Tao Zhang, Min Wang, Jiao Guo","doi":"10.23919/CISS51089.2021.9652315","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652315","url":null,"abstract":"Crop classification is one of the most significant applications for Polarimetric Synthetic Aperture Radar (PolSAR) data. Owing to the limited information obtained by the single-temporal PolSAR data, the multi-temporal data are used in this paper to further provide ample information within various crop growing stages. However, the polarization scattering decomposition for multi-temporal PolSAR data easily causes “dimension disaster”. Hence, a neural network of sparse auto-encoder with non-negativity constraints (NC-SAE) was employed to compress the data, yielding efficient features for accurate classification. Then, a novel classifier of multi-scale feature classification network (MSFCN) was constructed to improve the classification performance, which is proved to be superior to the popular classifiers of convolutional neural networks (CNN) and supper vector machine (SVM). The performances of the proposed method were evaluated and compared with the traditional methods by using simulated Sentinel-1 data provided by European Space Agency (ESA). The classification results indicate that the proposed methodology is promising for practical use in agricultural applications.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"1 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":"115723651","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 Air Floating Suspension Microgravity Simulator for Multi Specification of Spaceborne SAR 多规格星载SAR空气悬浮微重力模拟器
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652291
Zhiyao Sun, Xiangyu Sun, Qihua Zhou, Bo Zou, Gangfeng Liu, Huijuan Dong
{"title":"An Air Floating Suspension Microgravity Simulator for Multi Specification of Spaceborne SAR","authors":"Zhiyao Sun, Xiangyu Sun, Qihua Zhou, Bo Zou, Gangfeng Liu, Huijuan Dong","doi":"10.23919/CISS51089.2021.9652291","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652291","url":null,"abstract":"Microgravity Simulators are significant equipment for spaceborne synthetic aperture radar (SAR) on-ground test. Considering the diversity of spaceborne SAR specification as well as SAR’s high working accuracy, this paper provides a novel air floating suspension microgravity simulator equipped with both active and passive gravity compensation mechanism, which realize the high-precision microgravity simulation of spaceborne SAR with different structures and kinematic characteristics. The simulator also provides adjustable frames to guarantee the simulation stability of the SAR in different poses. In addition, the simulator’s corresponding horizontal tracking control system and vertical constant tension control system are also provided in this paper, which realize the tracking of the SAR movement. Finally, the simulation and experiment are provided to verify the effectiveness of the microgravity simulator.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"12 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":"122004055","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
A LSS-Target Detection Method for Urban Complex Environment 城市复杂环境下lss目标检测方法研究
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652215
Ming Fang, Li Li, Chunlei Zhao, Yifan Guo, Zhangxing Qi
{"title":"A LSS-Target Detection Method for Urban Complex Environment","authors":"Ming Fang, Li Li, Chunlei Zhao, Yifan Guo, Zhangxing Qi","doi":"10.23919/CISS51089.2021.9652215","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652215","url":null,"abstract":"In the complex urban environment, the echo signal of low-altitude, slow, and small target (LSS-target) is often submerged in strong clutter, and it is seriously mixed with the slow clutter signal in the Doppler domain, resulting in a serious decline in the detection performance of radar. To solve this problem, a LSS-target detection method suitable for urban complex environment is proposed. In the proposed method, the clutter component in the echo is suppressed through the RELAX algorithm firstly, which notably reduces the influence of strong point source clutter on weak target detection. Then a relatively long time and a set of Doppler filter banks are chosen to realize coherent integration of the target signal. Finally, CFAR detection based on adaptive clutter scene judgment is carried out along the range dimension in each Doppler channel. Simulation and experimental results verify the effectiveness of the proposed method.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"33 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":"124476968","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
Using VGG16 to Military Target Classification on MSTAR Dataset 基于VGG16的MSTAR数据集军事目标分类
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652365
Yuehan Gu, Jiahui Tao, Lipeng Feng, Hui Wang
{"title":"Using VGG16 to Military Target Classification on MSTAR Dataset","authors":"Yuehan Gu, Jiahui Tao, Lipeng Feng, Hui Wang","doi":"10.23919/CISS51089.2021.9652365","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652365","url":null,"abstract":"Synthetic aperture radar has the characteristics of all-weather, all-weather, long range, high resolution, etc., and has played an important role in the fields of battlefield reconnaissance, detection and guidance. Target recognition technology based on SAR images, especially ground military target recognition technology, has received widespread attention. The MSTAR dataset is composed of SAR images of ground stationary targets provided by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL), including civilian and military targets. The convolutional neural network consists of a series of convolutional layers, pooling layers and fully connected layers. It can obtain effective feature representation from big data and recognize it through automatic learning, eliminating the complicated feature extraction algorithm and feature matching process. Now it has been widely used in the field of target interpretation. Experiments show that using the existing neural network VGG16 to classify military targets on the MSTAR data set can obtain good classification accuracy.","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":"127854944","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
Data Processing of Airborne FMCW SAR Sliding Spotlight 机载FMCW SAR滑动聚光灯数据处理
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652334
Ruigang Zhang, Hui Wang, Chuhang Hu, Xiang Chen
{"title":"Data Processing of Airborne FMCW SAR Sliding Spotlight","authors":"Ruigang Zhang, Hui Wang, Chuhang Hu, Xiang Chen","doi":"10.23919/CISS51089.2021.9652334","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652334","url":null,"abstract":"The FMCW SAR is small and light, and its airborne platform is prone to movement mistakes induced by airflow variables. It is more sensitive to platform motion faults in millimeter-wave SAR. This paper investigates the properties of using the PGA algorithm to extract only the phase of the error after coarse inertial navigation compensation, and then using the PGA algorithm to extract the phase of the error several times, gradually reducing the amount of error in the data, and finally obtaining a well-focused sliding spotlight SAR image. The proposed motion compensation algorithm's effectiveness is confirmed by the measured data processing.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"22 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":"126518166","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 Fast Generation Algorithm of Radar Images for Ships on Time-evolving Sea Surface 时变海面舰船雷达图像的快速生成算法
2021 2nd China International SAR Symposium (CISS) Pub Date : 2021-11-03 DOI: 10.23919/CISS51089.2021.9652361
D. Gu, P. Gao, Zhijie Xie, Wei Gao, Yan Du, Xiuli Xu
{"title":"A Fast Generation Algorithm of Radar Images for Ships on Time-evolving Sea Surface","authors":"D. Gu, P. Gao, Zhijie Xie, Wei Gao, Yan Du, Xiuli Xu","doi":"10.23919/CISS51089.2021.9652361","DOIUrl":"https://doi.org/10.23919/CISS51089.2021.9652361","url":null,"abstract":"This paper presents a fast simulation algorithm for radar images of ship on dynamic sea surface. The instantaneous radar observation angles are first derived from the 6-degrees of freedom (DOF) pose of ship driven by sea waves. Taking a specific observation angle and radar parameters as input, on the one hand, we can predict the two dimensional (2-D) complex scattering image of ship via high-frequency electromagnetic (EM) calculation and projection technique, efficiently. On the other hand, the 2-D complex scattering function of the rough sea surface can be calculated by using the sea spectrum inversion and capillary wave modification facet scattering model (CWMFSM), directly. Finally, a radar image for the composite scene can be obtained by superimposing the complex scattering images of target and rough sea surface, after which a fast point-spread operation using 2-D window function is made in the frequency domain for sidelobe suppression. The proposed approach can generate single radar image of ship on sea surface in a few seconds compared with traditional algorithms always including time-consuming processing steps. So, this algorithm can be utilized to simulate the snapshot image sequence of ship on time-evolving sea surface under the given radar observation trajectory, which provides abundant pre-training samples for target recognition. Numerical results demonstrate the effectiveness of the proposed technique.","PeriodicalId":318218,"journal":{"name":"2021 2nd China International SAR Symposium (CISS)","volume":"34 52 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":"123080995","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信