{"title":"利用 DSM 进行非平面目标成像的扩展极点格式算法","authors":"Jingwei Chen;Daoxiang An;Dong Feng;Wu Wang;Zhimin Zhou","doi":"10.1109/TCI.2024.3490382","DOIUrl":null,"url":null,"abstract":"In case of circular or non-linear acquisition trajectory, synthetic aperture radar (SAR) focusing becomes increasingly sensitive to elevation. For non-planar target imaging, it not only appears fore-shortening but also blurred. As the wider integration angle and higher elevation of objects, the defocus cannot be ignored. Generally, the polar format algorithm (PFA) is an efficient imaging algorithm for circular or non-linear SAR. However, in the process of PFA, the impact of focusing at an incorrect altitude has not been considered. In this article, the conventional PFA is adapted to incorporate the known digital surface model (DSM) into the imaging process. Firstly, the maximum allowable elevation deviation (MAED) \n<inline-formula><tex-math>$\\delta {{z}_{\\max }}$</tex-math></inline-formula>\n is derived. Secondly, for non-planar targets that are higher than \n<inline-formula><tex-math>$\\delta {{z}_{\\max }}$</tex-math></inline-formula>\n, data extraction is applied in the range-Doppler domain. Additionally, a compensation function is multiplied, which is constructed based on DSM data separately. The corresponding original echo data is then replaced with the processed data. The whole method only involves fast Fourier transform (FFT) and complex multiplication which enhances operational efficiency. The simulated and experimental data results demonstrated the effectiveness and practicability of the proposed algorithm.","PeriodicalId":56022,"journal":{"name":"IEEE Transactions on Computational Imaging","volume":"10 ","pages":"1602-1615"},"PeriodicalIF":4.2000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extended Polar Format Algorithm for Non-Planar Target Imaging With DSM\",\"authors\":\"Jingwei Chen;Daoxiang An;Dong Feng;Wu Wang;Zhimin Zhou\",\"doi\":\"10.1109/TCI.2024.3490382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In case of circular or non-linear acquisition trajectory, synthetic aperture radar (SAR) focusing becomes increasingly sensitive to elevation. For non-planar target imaging, it not only appears fore-shortening but also blurred. As the wider integration angle and higher elevation of objects, the defocus cannot be ignored. Generally, the polar format algorithm (PFA) is an efficient imaging algorithm for circular or non-linear SAR. However, in the process of PFA, the impact of focusing at an incorrect altitude has not been considered. In this article, the conventional PFA is adapted to incorporate the known digital surface model (DSM) into the imaging process. Firstly, the maximum allowable elevation deviation (MAED) \\n<inline-formula><tex-math>$\\\\delta {{z}_{\\\\max }}$</tex-math></inline-formula>\\n is derived. Secondly, for non-planar targets that are higher than \\n<inline-formula><tex-math>$\\\\delta {{z}_{\\\\max }}$</tex-math></inline-formula>\\n, data extraction is applied in the range-Doppler domain. Additionally, a compensation function is multiplied, which is constructed based on DSM data separately. The corresponding original echo data is then replaced with the processed data. The whole method only involves fast Fourier transform (FFT) and complex multiplication which enhances operational efficiency. The simulated and experimental data results demonstrated the effectiveness and practicability of the proposed algorithm.\",\"PeriodicalId\":56022,\"journal\":{\"name\":\"IEEE Transactions on Computational Imaging\",\"volume\":\"10 \",\"pages\":\"1602-1615\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Computational Imaging\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10740658/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Imaging","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10740658/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Extended Polar Format Algorithm for Non-Planar Target Imaging With DSM
In case of circular or non-linear acquisition trajectory, synthetic aperture radar (SAR) focusing becomes increasingly sensitive to elevation. For non-planar target imaging, it not only appears fore-shortening but also blurred. As the wider integration angle and higher elevation of objects, the defocus cannot be ignored. Generally, the polar format algorithm (PFA) is an efficient imaging algorithm for circular or non-linear SAR. However, in the process of PFA, the impact of focusing at an incorrect altitude has not been considered. In this article, the conventional PFA is adapted to incorporate the known digital surface model (DSM) into the imaging process. Firstly, the maximum allowable elevation deviation (MAED)
$\delta {{z}_{\max }}$
is derived. Secondly, for non-planar targets that are higher than
$\delta {{z}_{\max }}$
, data extraction is applied in the range-Doppler domain. Additionally, a compensation function is multiplied, which is constructed based on DSM data separately. The corresponding original echo data is then replaced with the processed data. The whole method only involves fast Fourier transform (FFT) and complex multiplication which enhances operational efficiency. The simulated and experimental data results demonstrated the effectiveness and practicability of the proposed algorithm.
期刊介绍:
The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.