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A fast-imaging method for airborne gravity gradient data based on tensor invariants

Applied Geophysics 2022年第2期19卷 284-293,309页

作者： Zhou Shuai Wei Yue Wu Yan-gang Jiao Jian Lu Peng-yu Jiang Dan-Dan College of Geo-exploration Science and Technology Jilin UniversityChangchun 130026China

Airborne gravity gradient data contain additional short-wavelength information about the buried geological *** study develops a fast interpretation method based on the gravity gradient data for the sources’spatial location and physical property *** study analyzes the advantages of the source parameter inversion method based on tensor *** proposes a normalized fast-imaging method based on tensor invariants to quickly estimate the spatial location parameters of sources through the local maximum value position of the imaging ***,the tensor invariant characteristics and the imaging method’s effect in a simple model are analyzed using a theoretical ***,to analyze the imaging method’s application effect in complex model conditions,the method’s applicability is quantitatively analyzed using the data added with noise,superimposed anomalies of adjacent sources,and anomalies of deep and shallow geological *** theoretical model’s simulation results show that the model’s imaging results in this study have satisfactory performance on the spatial position estimation of the ***,the method is applied to the gravity anomaly data corresponding to the Humble salt *** imaging results can effectively estimate the distribution of the salt dome’s horizontal and depths,verifying the practicability of the method.

关键词： gravity gradient tensor invariants imaging method spatial location parameters

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Advanced high-order nonlinear chirp scaling algorithm for high-resolution wide-swath spaceborne SAR

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Chinese Journal of Aeronautics 2021年第2期34卷 563-575页

作者： Zhirong MEN Pengbo WANG Jie CHEN Chunsheng LI Wei LIU Wei YANG School of Electronic and Information Engineering Beihang UniversityBejing 100083China Electronic and Electronic Engineering Department Univrsity of ShefeldSheffield S13JDUK

Spaceborne Synthetic Aperture Radar(SAR) is a well-established and powerful imaging technology that can provide high-resolution images of the Earth’s surface on a global scale. For future SAR systems, one of the key capabilities is to acquire images with both high-resolution and wide-swath. In parallel to the evolution of SAR sensors, more precise range models, and effective imaging algorithms are required. Due to the significant azimuth-variance of the echo signal in High-Resolution Wide-Swath(HRWS) SAR, two challenges have been faced in conventional imaging algorithms. The first challenge is constructing a precise range model of the whole scene and the second one is to develop an effective imaging algorithm since existing ones fail to process highresolution and wide azimuth swath SAR data effectively. In this paper, an Advanced High-order Nonlinear Chirp Scaling(A-HNLCS) algorithm for HRWS SAR is proposed. First, a novel Second-Order Equivalent Squint Range Model(SOESRM) is developed to describe the range history of the whole scene, by introducing a quadratic curve to fit the deviation of the azimuth FM rate. Second, a corresponding algorithm is derived, where the azimuth-variance of the echo signal is solved by azimuth equalizing processing and accurate focusing is achieved through a high-order nonlinear chirp scaling algorithm. As a result, the whole scene can be accurately focused through one single imaging processing. Simulations are provided to validate the proposed range model and imaging algorithm.

关键词： High-Resolution WideSwath(HRWS) imaging method Second-Order Equivalent Squint Range Model(SOESRM) Signal processing Synthetic Aperture Radar(SAR)

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