{"title":"Fast Target Perception Imaging of Spaceborne SAR in Sparse Field","authors":"Pan Zhang, Yi Huang, Zhonghe Jin","doi":"10.1145/3432291.3432301","DOIUrl":null,"url":null,"abstract":"With the advantage of observing the earth all the day, the Synthetic Aperture Radar (SAR) has become an important means to image the interest targets. However, the traditional SAR is still large and has the characteristics of large volume and high resource cost. In recent years, the vigorous development of micro satellite field has also promoted the research of small, intelligent and distributed cooperative imaging field of space borne SAR. The traditional spaceborne SAR imaging method is to process the echo of the received LFM signal in the two-dimensional pulse compression domain. Since the targets in the ocean are usually sparsed, it is an effective method to detect the interested targets by analyzing the echo and transform domain. In this paper, the method of azimuth pulse compression is used to realize the perception and fast imaging of sparse targets. Compared with the traditional method, it's clear that the method has a greater improvement in resource and time consumption performance.","PeriodicalId":340004,"journal":{"name":"International Conference on Signal Processing and Machine Learning","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Signal Processing and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3432291.3432301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the advantage of observing the earth all the day, the Synthetic Aperture Radar (SAR) has become an important means to image the interest targets. However, the traditional SAR is still large and has the characteristics of large volume and high resource cost. In recent years, the vigorous development of micro satellite field has also promoted the research of small, intelligent and distributed cooperative imaging field of space borne SAR. The traditional spaceborne SAR imaging method is to process the echo of the received LFM signal in the two-dimensional pulse compression domain. Since the targets in the ocean are usually sparsed, it is an effective method to detect the interested targets by analyzing the echo and transform domain. In this paper, the method of azimuth pulse compression is used to realize the perception and fast imaging of sparse targets. Compared with the traditional method, it's clear that the method has a greater improvement in resource and time consumption performance.