{"title":"基于谱隙填充的准静止Sar星座成像新方法","authors":"Yukun Guo, Ze Yu, Jingwen Li","doi":"10.1109/IGARSS.2019.8898149","DOIUrl":null,"url":null,"abstract":"Quasi geostationary orbit (GSO) synthetic aperture radar (SAR) has the superiority of continuous wide view Earth observation. High resolution is achieved at the cost of long integration time. In this paper we propose a new imaging method for quasi GSO SAR constellation. By implementing spectrum gap filling, the azimuth resolution corresponding to the gapped synthetic aperture covered by the constellation is reached. Simulation results validate the proposed method.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"45 1","pages":"2901-2904"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Imaging Method for Quasi Geostationary Sar Constellation Using Spectrum Gap Filling\",\"authors\":\"Yukun Guo, Ze Yu, Jingwen Li\",\"doi\":\"10.1109/IGARSS.2019.8898149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quasi geostationary orbit (GSO) synthetic aperture radar (SAR) has the superiority of continuous wide view Earth observation. High resolution is achieved at the cost of long integration time. In this paper we propose a new imaging method for quasi GSO SAR constellation. By implementing spectrum gap filling, the azimuth resolution corresponding to the gapped synthetic aperture covered by the constellation is reached. Simulation results validate the proposed method.\",\"PeriodicalId\":13262,\"journal\":{\"name\":\"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium\",\"volume\":\"45 1\",\"pages\":\"2901-2904\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2019.8898149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2019.8898149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Imaging Method for Quasi Geostationary Sar Constellation Using Spectrum Gap Filling
Quasi geostationary orbit (GSO) synthetic aperture radar (SAR) has the superiority of continuous wide view Earth observation. High resolution is achieved at the cost of long integration time. In this paper we propose a new imaging method for quasi GSO SAR constellation. By implementing spectrum gap filling, the azimuth resolution corresponding to the gapped synthetic aperture covered by the constellation is reached. Simulation results validate the proposed method.