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RADAR IMAGE OF ONE DIMENSION ROUGH SURFACE WITH BURIED OBJECT
Author(s) -
Wei-Jie Ji,
Chuangming Tong
Publication year - 2011
Publication title -
progress in electromagnetics research b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 47
ISSN - 1937-6472
DOI - 10.2528/pierb11092106
Subject(s) - radar imaging , radar , backscatter (email) , synthetic aperture radar , truncation (statistics) , dimension (graph theory) , projection (relational algebra) , object (grammar) , surface (topology) , geology , remote sensing , computer science , computer vision , optics , algorithm , artificial intelligence , mathematics , physics , geometry , telecommunications , machine learning , pure mathematics , wireless
In order to detect a buried object quickly and accurately, a fast radar imaging method is presented in this paper. At first, complex backscatter data are computed by using propagation-inside-layer expansion combining the forward and backward method (PILE + FB). Then, a conventional synthetic aperture radar (SAR) imaging procedure called back projection method is used to generate 2-D image. The random rough surface with Gauss spectrum is used to simulate the ground. Tapered incident wave is chosen to reduce truncation error. Because backscatter data are computed by fast numerical method, this method is proper for rough surface with any parameters with a buried complex object, which is very useful for realistic object detection.

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