{"title":"舰船识别雷达图像快速生成算法","authors":"D. Gu, M. Feng, Zhijie Xie, F. Wei, Yajun Wu","doi":"10.1109/PIERS-Fall48861.2019.9021413","DOIUrl":null,"url":null,"abstract":"This paper presents a fast algorithm for radar image generation. In this approach, the three-dimensional (3-D) complex scattering function of a complex man-made target is first predicted by a high-frequency EM technique, and then projected onto the two dimensional (2-D) image projection plane (IPP). A fast point-spread operation using 2-D window function is finally made in the frequency domain to obtain a radar image. The developed algorithm is applicable to the online prediction of templates as well as to establish a plentiful training data base for machine learning based automatic target recognition. As an example, a ship recognition approach based on 2-D hot scattering point image is presented by using the proposed algorithm. Experimental results for simulated and TerraSAR-X images demonstrate the usefulness and practicability of the proposed algorithms.","PeriodicalId":197451,"journal":{"name":"2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Fast Generation Algorithm of Radar Images for Ship Recognition\",\"authors\":\"D. Gu, M. Feng, Zhijie Xie, F. Wei, Yajun Wu\",\"doi\":\"10.1109/PIERS-Fall48861.2019.9021413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fast algorithm for radar image generation. In this approach, the three-dimensional (3-D) complex scattering function of a complex man-made target is first predicted by a high-frequency EM technique, and then projected onto the two dimensional (2-D) image projection plane (IPP). A fast point-spread operation using 2-D window function is finally made in the frequency domain to obtain a radar image. The developed algorithm is applicable to the online prediction of templates as well as to establish a plentiful training data base for machine learning based automatic target recognition. As an example, a ship recognition approach based on 2-D hot scattering point image is presented by using the proposed algorithm. Experimental results for simulated and TerraSAR-X images demonstrate the usefulness and practicability of the proposed algorithms.\",\"PeriodicalId\":197451,\"journal\":{\"name\":\"2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIERS-Fall48861.2019.9021413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIERS-Fall48861.2019.9021413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fast Generation Algorithm of Radar Images for Ship Recognition
This paper presents a fast algorithm for radar image generation. In this approach, the three-dimensional (3-D) complex scattering function of a complex man-made target is first predicted by a high-frequency EM technique, and then projected onto the two dimensional (2-D) image projection plane (IPP). A fast point-spread operation using 2-D window function is finally made in the frequency domain to obtain a radar image. The developed algorithm is applicable to the online prediction of templates as well as to establish a plentiful training data base for machine learning based automatic target recognition. As an example, a ship recognition approach based on 2-D hot scattering point image is presented by using the proposed algorithm. Experimental results for simulated and TerraSAR-X images demonstrate the usefulness and practicability of the proposed algorithms.