Application of fast factorized back-projection algorithm for high-resolution highly squinted airborne SAR imaging
In squinted synthetic aperture radar(SAR) imaging, the range-azimuth coupling requires precise range cell migration correction(RCMC). Moreover, for high-resolution airborne SAR, motion compensation(MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Dopplerd...
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description | In squinted synthetic aperture radar(SAR) imaging, the range-azimuth coupling requires precise range cell migration correction(RCMC). Moreover, for high-resolution airborne SAR, motion compensation(MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Dopplerdomain imaging algorithms. On the other hand, time-domain back-projection(BP) SAR imaging approaches are considered as optimal solutions to performing precise image focusing and MOCO. Among current BP algorithms,the fast factorized back-projection(FFBP) algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function(AIRF) of the resulting image.The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed.Based on rigorous mathematical derivations, a modified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squinted airborne SAR.Real data results confirm the effectiveness of the proposed approaches. |
doi_str_mv | 10.1007/s11432-015-0927-3 |
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Moreover, for high-resolution airborne SAR, motion compensation(MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Dopplerdomain imaging algorithms. On the other hand, time-domain back-projection(BP) SAR imaging approaches are considered as optimal solutions to performing precise image focusing and MOCO. Among current BP algorithms,the fast factorized back-projection(FFBP) algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function(AIRF) of the resulting image.The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed.Based on rigorous mathematical derivations, a modified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squinted airborne SAR.Real data results confirm the effectiveness of the proposed approaches.</description><identifier>ISSN: 1674-733X</identifier><identifier>EISSN: 1869-1919</identifier><identifier>DOI: 10.1007/s11432-015-0927-3</identifier><language>eng</language><publisher>Beijing: Science China Press</publisher><subject>Algorithms ; Azimuth ; Computer Science ; FBP算法 ; High resolution ; Image resolution ; Impulse response ; Information Systems and Communication Service ; Motion compensation ; Performance degradation ; Radar imaging ; Research Paper ; Response functions ; SAR成像 ; Synthetic aperture radar ; 应用 ; 快速分解 ; 投影算法 ; 斜视 ; 机载SAR ; 高分辨率</subject><ispartof>Science China. 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Information sciences</title><addtitle>Sci. China Inf. Sci</addtitle><addtitle>SCIENCE CHINA Information Sciences</addtitle><description>In squinted synthetic aperture radar(SAR) imaging, the range-azimuth coupling requires precise range cell migration correction(RCMC). Moreover, for high-resolution airborne SAR, motion compensation(MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Dopplerdomain imaging algorithms. On the other hand, time-domain back-projection(BP) SAR imaging approaches are considered as optimal solutions to performing precise image focusing and MOCO. Among current BP algorithms,the fast factorized back-projection(FFBP) algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function(AIRF) of the resulting image.The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed.Based on rigorous mathematical derivations, a modified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squinted airborne SAR.Real data results confirm the effectiveness of the proposed approaches.</description><subject>Algorithms</subject><subject>Azimuth</subject><subject>Computer Science</subject><subject>FBP算法</subject><subject>High resolution</subject><subject>Image resolution</subject><subject>Impulse response</subject><subject>Information Systems and Communication Service</subject><subject>Motion compensation</subject><subject>Performance degradation</subject><subject>Radar imaging</subject><subject>Research Paper</subject><subject>Response functions</subject><subject>SAR成像</subject><subject>Synthetic aperture radar</subject><subject>应用</subject><subject>快速分解</subject><subject>投影算法</subject><subject>斜视</subject><subject>机载SAR</subject><subject>高分辨率</subject><issn>1674-733X</issn><issn>1869-1919</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UMtOwzAQjBBIVNAP4GbB2eBHbCfHquIlVULiIXGzXMdOUtI4sZND-XrcpoIbPqxt7czO7CTJFUa3GCFxFzBOKYEIM4hyIiA9SWY44znEOc5P45uLFApKP8-TeQgbFA-liIhslvSLrmtqrYbatcBZYFUYYtGD8_W3KcBa6S_Yebcx-gBRTRk7Q7UF1nlQ1WUFvQmuGQ_d_b_ZgdCPdTtEtqr92vnWgLfFK6i3qqzb8jI5s6oJZn68L5KPh_v35RNcvTw-LxcrqGnGB6hTsk7TzNoi4wITrZWhGcGCaY1twbRhGSoYIYWIi3AmGMUMIxH9ImuJJfQiuZnmRvf9aMIgN270bZSUJI_pIM5zFlF4QmnvQvDGys5Ho34nMZL7cOUUrozhyn24kkYOmTghYtvS-L_J_5Guj0KVa8s-8n6VuCA0RYRz-gMDs4ki</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Zhang, Lei</creator><creator>Li, Haolin</creator><creator>Xu, Zhiwei</creator><creator>Wang, Hongxian</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20170601</creationdate><title>Application of fast factorized back-projection algorithm for high-resolution highly squinted airborne SAR imaging</title><author>Zhang, Lei ; Li, Haolin ; Xu, Zhiwei ; Wang, Hongxian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-c42b448ffd86712ccae382175cc1fd5ce580d522d70276575315107bac0ff2f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Azimuth</topic><topic>Computer Science</topic><topic>FBP算法</topic><topic>High resolution</topic><topic>Image resolution</topic><topic>Impulse response</topic><topic>Information Systems and Communication Service</topic><topic>Motion compensation</topic><topic>Performance degradation</topic><topic>Radar imaging</topic><topic>Research Paper</topic><topic>Response functions</topic><topic>SAR成像</topic><topic>Synthetic aperture radar</topic><topic>应用</topic><topic>快速分解</topic><topic>投影算法</topic><topic>斜视</topic><topic>机载SAR</topic><topic>高分辨率</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Li, Haolin</creatorcontrib><creatorcontrib>Xu, Zhiwei</creatorcontrib><creatorcontrib>Wang, Hongxian</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Science China. Information sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Lei</au><au>Li, Haolin</au><au>Xu, Zhiwei</au><au>Wang, Hongxian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of fast factorized back-projection algorithm for high-resolution highly squinted airborne SAR imaging</atitle><jtitle>Science China. Information sciences</jtitle><stitle>Sci. China Inf. Sci</stitle><addtitle>SCIENCE CHINA Information Sciences</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>60</volume><issue>6</issue><spage>155</spage><epage>171</epage><pages>155-171</pages><artnum>062301</artnum><issn>1674-733X</issn><eissn>1869-1919</eissn><abstract>In squinted synthetic aperture radar(SAR) imaging, the range-azimuth coupling requires precise range cell migration correction(RCMC). Moreover, for high-resolution airborne SAR, motion compensation(MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Dopplerdomain imaging algorithms. On the other hand, time-domain back-projection(BP) SAR imaging approaches are considered as optimal solutions to performing precise image focusing and MOCO. Among current BP algorithms,the fast factorized back-projection(FFBP) algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function(AIRF) of the resulting image.The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed.Based on rigorous mathematical derivations, a modified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squinted airborne SAR.Real data results confirm the effectiveness of the proposed approaches.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11432-015-0927-3</doi><tpages>17</tpages></addata></record> |
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subjects | Algorithms Azimuth Computer Science FBP算法 High resolution Image resolution Impulse response Information Systems and Communication Service Motion compensation Performance degradation Radar imaging Research Paper Response functions SAR成像 Synthetic aperture radar 应用 快速分解 投影算法 斜视 机载SAR 高分辨率 |
title | Application of fast factorized back-projection algorithm for high-resolution highly squinted airborne SAR imaging |
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