- 标题
- 摘要
- 关键词
- 实验方案
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Phase Error Compensation in Multi-Baseline SAR Tomography
摘要： This paper explores the main issue surrounding the multi-dimensional synthetic aperture radar (SAR) image focusing techniques, suchlike those caused by the atmosphere propagation delays or by residual platform motion. The problem brings unknown contributions to the phases of complex received signal that it is generally independent of acquisitions track to track and leads spreading and defocusing in multi-dimensional space. To deal with these issues, in this paper an auto-focusing procedure based on sharpness optimization of the reconstructed signal has been employed. The main concern about this technique is that sharpness optimization by itself however can introduce unwanted and uncontrollable vertical shifts in the focused image. To tackle this issue, the phase error is estimated by multiple integration of second derivative of the phase with respect to baseline. The estimation of the calibration phase is performed by optimizing contrast or entropy of the vertical profile with the constraint of a zero phase derivative. In this way, unwanted vertical shifts are avoided and the correct height reference is preserved. Experimental results from the proposed method are evaluated by vertical profile reconstruction performance in the controlled conditions by simulated dataset over the forested area and multi-baseline data acquired by ONERA in Guyana in the frame of European space agency’s campaign TROPISAR.
关键词： synthetic aperture radar (SAR),tomography,Phase calibration,volumetric media
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Multi-Baseline Insar Experiments in Natural Scenarios with Tandem-X Staring Spotlight Data
摘要： In this paper, the potential of very-high resolution multi-baseline (MB) SAR images acquired in Staring Spotlight mode and Pursuit Monostatic configuration of the TanDEM-X mission during the Science Phase will be evaluated for series of InSAR acquisitions over a natural scene. In particular, this work focuses on the use of very-high resolution and baseline diversity to help to characterize X-band backscattering in the 3-D space, e.g. in terms of penetration in forest scenarios. At the same time, the application of classical MB InSAR techniques to identify geometry-related issues such as layover in (mainly) surface areas with rough topography is preliminarily addressed.
关键词： SAR Tomography (TomoSAR),Synthetic Aperture Radar (SAR),InSAR coherence,decorrelation
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Sea Oil Seep Monitoring Using A Time Series of Co-Polarized Coherent Sar Measurements
摘要： In this study, coherent co–polarized synthetic aperture radar (SAR) information is exploited for sea oil seep monitoring purposes. A time series of 33 TerraSAR-X StripMap SAR data, collected over a well–known oil seep in Gulf of Mexico, is exploited to analyze the influence of incidence angle and wind conditions on the co–polarized phase difference (CPD). Furthermore, the benefits of using phase information for oil seep observation are assessed. Experimental results show that: i) incidence angle has a remarkable effect in broadening/shrinking the CPD statistical distribution and, ii) the CPD provides spatial information on the oil seep damping properties.
关键词： polarimetry,co–polarized phase difference,synthetic aperture radar,oil seep
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Deformation Monitoring Using Persistent Scatterer Interferometry and Sentinel-1 Data in Urban Areas
摘要： In this paper, an approach to Persistent Scatterer Interferometry (PSI) is used to derive deformation measurements over the Catalonia region (Northern Spain). A set of tools to control the quality of the 2+1D phase unwrapping, one of the key steps of the proposed procedure, are described and applied over a set of Sentinel-1A (S-1A) images. The results, derived using 64 S1-A images comprising the period from March 2015 to May 2017, are analyzed in the last section of the paper. Finally, the deformation velocity map and the time series are described, in particular over the urban areas, where the proposed approach yields the best results.
关键词： Sentinel-1,deformation monitoring,urban areas,Persistent Scatterer Interferometry,Synthetic Aperture Radar
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Feature Enhanced Sar Tomography Reconstruction Through Adaptive Nonparametric Array Processing
摘要： Synthetic aperture radar (SAR) tomography (TomoSAR) employs array signal processing techniques, in order to estimate the location of the vertical structures that compose the backscattering field, in the direction perpendicular to the line-of-sight (PLOS). Due to the limited number of tracks for practical TomoSAR sensing scenarios, it becomes challenging to accurately estimate the source parameters. Additionally, irregular sampling and non-uniform acquisition constellations introduce artifacts and increase ambiguity. The usage of super-resolved parametric methods and compressed sensing (CS) based approaches, improve the vertical resolution and mitigate the effect of sidelobes. However, parametric approaches have the main drawback related to the assumption that the scene is composed by a known finite number of point-type backscattering sources. Also, the CS-based techniques regularly imply a considerable computational burden. Overcoming the disadvantages of the above mentioned TomoSAR-adapted methods, this paper presents a novel non-parametric iterative approach for feature enhanced SAR tomography, in the context of maximum likelihood (ML) estimation theory. The feature enhancing capabilities of the proposed technique are corroborated via processing L-band airborne TomoSAR data of the German Aerospace Center (DLR), acquired by the F-SAR system over the forested test site of Froschham, Germany, in 2017.
关键词： power spectrum pattern (PSP),spectral analysis (SA),synthetic aperture radar (SAR) tomography (TomoSAR),Maximum likelihood (ML)
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - A Novel Imaging Formation of Electromagnetic Vortex Sar with Time-Variant Orbital-Angular-Momentum
摘要： In recent years, electromagnetic vortex waves carrying orbital angular momentum (OAM) arouse extensive attention in remote sensing imaging fields. However, most of the researches concentrate on the staring imaging mode, where the radar is motionless relative to the targets. We establish a novel system operation mode based on the principle of synthetic aperture radar (SAR). The echo model upon this novel operation mode is established and the new imaging method modified from the back-projection (BP) algorithm is deduced. Simulation and image evaluation results demonstrate the validation of the proposed method and OAM-based SAR system can be utilized in the SAR data acquisition and signal processing fields.
关键词： Orbital angular momentum (OAM),back-projection (BP) algorithm,synthetic aperture radar (SAR),electromagnetic (EM) vortex
更新于2025-09-09 09:28:46
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[IEEE 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) - Espoo, Finland (2018.8.27-2018.9.1)] 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) - Analysis of Elliptical Aperture Metasurface Antennas
摘要： A Method of Moments (MoM) based analysis is presented for elliptical aperture metasurface (MTS) antennas. The MTS is represented as a sheet transition impedance boundary condition incorporated in a transmission line which accounts for the substrate interaction with the patches layer. The algorithm uses the Fourier-Bessel basis functions (FBBFs) and is inspired from the circular domain analysis. The computation time is then comparable to that of an equivalent size circular aperture MTS. Numerical results obtained with the proposed method are compared with the full wave Contour-FFT (CFFT) based MoM simulation of a MTS implemented with sub-wavelength printed patches.
关键词： Fourier-Bessel basis functions,Method of Moments,Contour-FFT,elliptical aperture,Metasurface antennas
更新于2025-09-09 09:28:46
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[IEEE 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) - Coimbatore, India (2017.12.14-2017.12.16)] 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) - Runway Detection Using Classification Based on Polarimetric Decomposed Features
摘要： Current developments in the arena of remote sensing technology has opened innovative prospects and impelled the way of analyzing images from remote sensing satellites to detect or identify an object, or a place, which is selected as an area of interest. The detection of airport becomes a motivating topic recently because of its applications and importance in military and civil aviation fields. This paper presents an approach for airport detection using remote sensing images by implementing unsupervised classification techniques based on polarimetric decomposed features that include Entropy, Eigenvalue parameters, and Alpha angle. The obtained results reveal that classification based on decomposed polarimetric features provides better results for the detection of the target. The classification based Eigenvalue parameter 2 gives superior results compared to Eigenvalue parameter 1 and 3. In this work, the effectiveness of the algorithms was demonstrated using quad-polarimetric L-band Polarimetric Synthetic Aperture Radar (polSAR) imagery from the NASA Jet Propulsion Laboratory’s (JPL’s) Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR). The study area is Louis Armstrong New Orleans International Airport, Louisiana, USA.
关键词： Polarimetric features,Runway detection,Synthetic Aperture Radar,Unsupervised classification
更新于2025-09-09 09:28:46
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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 - Feature Learning For SAR Images Using Convolutional Neural Network
摘要： Convolutional neural network (CNN) has been widely used in many research areas due to its powerful ability of feature learning. In this paper, the powerful ability of feature learning in CNN is explored by constructing a novel convolutional network (ConvNet) for SAR image processing. The proposed ConvNet is firstly trained under classification task, in which effective features can be learned automatically from the training data. Specifically, data argument is adopted to overcome the small-sample-problem in SAR images. When well-trained, the proposed ConvNet can be directly used for feature extraction of other images, even though their classes may be not used in the training. Experimental results on benchmark MSTAR dataset demonstrate that the proposed ConvNet is effective for classification of SAR images, and the features learned from it are more effective than traditional hand-crafted features in SAR image processing.
关键词： Synthetic Aperture Radar (SAR),feature learning,convolutional neural network (CNN),feature extraction,classification
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Development and Preliminary Results of Small-Size Uav-Borne Fmcw Sar
摘要： The small-size unmanned aerial vehicle (UAV) is being used widely in many fields, especially in surveying, mapping and remote sensing. Due to the platform’s size and load ability, its payload is strictly limited. Synthetic aperture radar(SAR) is a kind of microwave imaging instrument with high performance under all weather, day and night conditions. Highly miniaturized SAR can satisfy the requirement of observation on small UAV. Frequency modulation continuous wave (FMCW) technology provides a way for small volume, low cost, high reliability and high resolution SAR. FMCW SAR transmits frequency modulated signal continuously. This reduces the peak power, which is the important factor determining the size and cost of SAR. Meanwhile, due to transmitting and receiving signals simultaneously, increasing the isolation between the transmitter and receiver becomes associated problem. Two separated antennas solve the problem partly. There is another problem in processing algorithm. Long duration of signal makes the assumption of stop and go model ineffective. Frequency scaling algorithm has to be chosen to correct the phase variation during one period of frequency sweep. Procedure of development for prototype and practical systems and verification experiments are shown in this paper. The results of experiments with such radars prove the expected performance.
关键词： UAV,Synthetic Aperture Radar,FMCW,SAR/ISAR
更新于2025-09-09 09:28:46