Sar Image Simulation With Application to Target Recognition

Abstract

Abstract-This paper presents a novel synthetic aperture radar (SAR) image simulation approach to target recognition, which consists of two frameworks, referred to as the satellite SAR images simulation and the target recognition and identification. The images simulation makes use of the sensor and target geo-location relative to the Earth, movement of SAR sensor, SAR system parameters, radiometric and geometric characteristics of the target, and target radar cross section (RCS), orbital parameters estimation, SAR echo signal generation and image focusing to build SAR image database. A hybrid algorithm that combines the physical optics, physical diffraction theory, and shooting and bouncing rays was used to compute the RCS of complex radar targets. Such database is vital for aided target recognition and identification system Followed by reformulating the projection kernel in an optimization equation form, the target's reflectivity field can be accurately estimated. Accordingly, the target's features can be effectively enhanced and extracted, and the dominant scattering centers are well separated. Experimental results demonstrate that the simulated database developed in this paper is well suited for target recognition. Performance is extensively tested and evaluated from real images by Radarsat-2 and TerraSAR-X. Effectiveness and efficiency of the proposed method are further confirmed.

A Multi-Scale Local Phase Quantization Plus Biomimetic Pattern Recognition Method for Sar Automatic Target Recognition

“…Nowadays, Synthetic Aperture Radar (SAR) is playing an important role in the field of military remote sensing because of its ability to imaging with high resolution under all-weather and all-time condition [1][2][3][4][5]. As a key application of SAR, automatic target recognition (ATR) based on SAR has a great value both in military and commercial applications.…”

Radar Image of One Dimension Rough Surface With Buried Object

“…Equation (19) takes the form of a Fourier transform. Therefore, if the scattered field data are obtained with uniform frequency increments, Equation (19) can be evaluated using an IFFT.…”

“…The one dimensional rough surface scattering theories are investigated through analysis of radar images in [17,18]. In [19], a novel SAR imaging technology is used to target recognition. The requirements of tomographic processing are compounded by the need for data at multiple frequencies and aspect angles.…”

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

“…Radar has been successfully employed for detection of various entities such as breast cancers [7][8][9], hidden objects or humans [10][11][12][13][14][15][16][17][18][19], moving targets [20][21][22] and their speed [23,24] and speech acquisition [25]. Among various types of radars developed so far, ground penetrating radars (GPRs) have attracted many researchers attention.…”