Nonlinear Model for InSAR Baseline Error
文献类型:期刊论文
作者 | Liu, Guang1; Hanssen, Ramon F.1; Guo, Huadong1; Yue, Huanyin1; Perski, Zbigniew1 |
刊名 | IEEE Transactions on Geoscience and Remote Sensing
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出版日期 | 2016 |
卷号 | 54期号:9页码:5341-5351 |
关键词 | RANDOM ROUGH-SURFACE ELECTROMAGNETIC SCATTERING SOIL SURFACES NUMERICAL-SIMULATION MAXWELL EQUATIONS LAYERED MEDIA GRID METHOD BACKSCATTERING LIGHT WAVES |
英文摘要 | Synthetic aperture radar (SAR) interferometric baseline parameters form important input for SAR interferometry. In this paper, a nonlinear error model is established for the SAR interferometric baseline and parameterized as a polynomial based on the natural nonlinearity of the orbit of a satellite. Unlike conventional models, the proposed model takes into account the nonlinear part of the baseline error. A theoretical derivation is performed based on the imaging geometry of interferometric SAR, and the results of the analysis show that the parameters of the nonlinear baseline error model can be obtained from the relationship between the orbit, the nominal baseline, the baseline error, and the residual interferogram phase. A sample data set from the Japanese Earth Resources Satellite-1 (JERS-1) L-band SAR is used to validate the proposed model, and the results indicated that the compensation of the residual interferogram phase of the test data is superior to that provided by conventional models. © 2016 IEEE. |
学科主题 | Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology |
类目[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:20162302466026 |
源URL | [http://ir.radi.ac.cn/handle/183411/39190] ![]() |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1. Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100094, China 3. Department of Geoscience and Remote Sensing, Delft University of Technology, Delft 4.2628, Netherlands 5. National Remote Sensing Center, Ministry of Science and Technology, Beijing 6.100036, China 7. Polish Geological Institute, National Research Institute, Cracow 8.31-560, Poland |
推荐引用方式 GB/T 7714 | Liu, Guang,Hanssen, Ramon F.,Guo, Huadong,et al. Nonlinear Model for InSAR Baseline Error[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(9):5341-5351. |
APA | Liu, Guang,Hanssen, Ramon F.,Guo, Huadong,Yue, Huanyin,&Perski, Zbigniew.(2016).Nonlinear Model for InSAR Baseline Error.IEEE Transactions on Geoscience and Remote Sensing,54(9),5341-5351. |
MLA | Liu, Guang,et al."Nonlinear Model for InSAR Baseline Error".IEEE Transactions on Geoscience and Remote Sensing 54.9(2016):5341-5351. |
入库方式: OAI收割
来源:遥感与数字地球研究所
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