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[IEEE 2018 China International SAR Symposium (CISS) - Shanghai, China (2018.10.10-2018.10.12)] 2018 China International SAR Symposium (CISS) - A Novel Beam-Steering Method for Spaceborne Interferometric Synthetic Aperture Radar Altimeter
摘要： The Spaceborne altimeter based on Interferometric Synthetic Aperture Radar (InSAR) can achieve high-resolution, wide-swath and high-accuracy height measurement of sea surface. The beam steering of the SAR systems in orbit is designed to access SAR images with the same noise equivalent sigma zero (NESZ) for near-range and far-range observation areas. However, for InSAR altimeters, the conventional method would result in the height accuracy of near-range areas much higher than the far-range ones. To achieve the required height accuracy in far-range areas, the SAR systems have to improve the transmission power or increase the size of antenna, improving the complexity in system designation. In this paper, a novel beam-steering method for spaceborne InSAR altimeters is proposed. The beam-steering angle is optimized according to the height accuracy in the whole scene. The performance of the proposed method over the conventional method is validated by the simulation.
关键词： Beam steering,Radar altimeter,Interferometric Synthetic Aperture Radar (InSAR)
更新于2025-09-09 09:28:46
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CHARACTERISTIC ANALYSIS OF PHASE GLINT IN INSAR IMAGE PROCESSING
摘要： This paper investigates the phase glint problem involved in interferometric synthetic aperture radar (InSAR) image processing, which refers to the multiple scatterer interference of a single pixel, and studies the distribution of interferometric phase in the case of double scatterer interference. It is found that the value range of the observed interferometric phase is related to several factors including the complex scattering coe?cient ratio and interferometric phase di?erence between the elementary scatterers, and no matter what values of interferometric phases of elementary scatterers are taken, the range of interferometric phase of phase glint is always 2π. This paper also brie?y analyzes the impact of phase glint on classical InSAR image processing and man-made target height retrieval, and it is concluded that the phase glint will induce signi?cant height estimating error. Simulation and real data results verify the conclusion.
关键词： InSAR,height retrieval,interferometric phase,phase glint,multiple scatterer interference
更新于2025-09-09 09:28:46
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Interferometric Angular Decorrelation Analysis of 1-D Rough Surface With Pencil Beam Incidence
摘要： Interferometric synthetic aperture radar (InSAR) uses phase difference of radar echoes, either from multiple passes along the same trajectory or from multiple displaced phase centers on a single pass, to generate interferogram. Scattering correlation in the angular dimension is a critical factor determining the quality of InSAR interferogram. It can be modeled with the angular correlation function (ACF). In this letter, the ACF of a 1-D rough surface under incidence of a tapered wave, namely, a pencil beam, is studied numerically for correlation analysis of InSAR. An analytic ACF is ?rst derived based on the ?rst-order small perturbation method. It is then validated statistically by the method of moment of electromagnetic scattering. Analysis of the ACF simulations indicate that the ACF of backscattering from a randomly rough surface exhibits a shape of sinc function, which depends on tapering parameter g, interferometric incidence angles θ1 and θ2. Several numerical simulations of different rough surface spectrums demonstrate that the analytical ACF ?ts well with numerical results as long as g is the larger several correlation lengths l.
关键词： interferometric synthetic aperture radar (InSAR),Angular correlation function (ACF),small perturbation method (SPM),surface roughness
更新于2025-09-09 09:28:46
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[Lecture Notes in Computer Science] Neural Information Processing Volume 11301 (25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I) || Proposal of Complex-Valued Convolutional Neural Networks for Similar Land-Shape Discovery in Interferometric Synthetic Aperture Radar
摘要： We propose a complex-valued convolutional neural network to extract the areas having land shapes similar to samples in interferometric synthetic aperture radar (InSAR). InSAR extends its application to various earth observations such as volcano monitoring and earthquake damage estimation. Since the amount of data is increasing drastically in these years, it is necessary to structurize them in a big data framework. In this paper, experiments demonstrate that similar small volcanoes are grouped into a single class. We ?nd that the neural network is capable of discovering unidenti?ed lands similar to prepared samples successfully.
关键词： Complex-valued neural network (CVNN),Interferometric synthetic aperture radar (InSAR),Feature discovery
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Surface Deformation and Source Modeling for the MW 7.3 Iran Earthquake (November 12, 2017) Exploiting Sentinel-1 and ALOS-2 Insar Data
摘要： In this study, an analysis of the November 12, 2017 northwestern Iran earthquake (Mw 7.3) is presented. A multi-frequency Synthetic Aperture Radar Interferometry (InSAR) approach was adopted to retrieve the ground deformation due to the mainshock. Then, InSAR results were used as input for the source modeling of the seismic event. C-Band Sentinel-1 (IW TOPSAR acquisition mode) and L-Band ALOS-2 (Wide Swath) SAR data along both the ascending and descending orbits were processed. InSAR results show a displacement pattern in the epicentral area, with a maximum value up to ~1.0 meter. Preliminary analytical and numerical models suggest that the retrieved InSAR ground displacements are due to a slip dislocation (over 3.8 meters) on the causative fault and that dips to the east with a shallow angle of 16°.
关键词： InSAR,Iran earthquake,Displacements,Modeling
更新于2025-09-04 15:30:14