Accurate Three-Dimensional Scattering Center Extraction for ISAR Image Using the Matched Filter-Based CLEAN Algorithm

2018 ◽  
Vol E101.B (2) ◽  
pp. 418-425 ◽  
Author(s):  
Dal-Jae YUN ◽  
Jae-In LEE ◽  
Ky-Ung BAE ◽  
Won-Young SONG ◽  
Noh-Hoon MYUNG
Keyword(s):  
Matched Filter ◽  
Three Dimensional ◽  
Scattering Center ◽  
Clean Algorithm

Adaptive matched filter for implicit-target recognition: application in three-dimensional reconstruction

2019 ◽  
Vol 58 (32) ◽  
pp. 8920 ◽  
Author(s):  
Jose Enrique Hernandez-Beltran ◽  
Victor H. Diaz-Ramirez ◽  
Rigoberto Juarez-Salazar
Keyword(s):  
Matched Filter ◽  
Target Recognition ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Dimensional Reconstruction ◽  
Adaptive Matched Filter

Velocity estimates derived from three‐dimensional seismic data

Geophysics ◽  
1983 ◽  
Vol 48 (11) ◽  
pp. 1486-1497 ◽  
Author(s):  
Kwame Owusu ◽  
G. H. F. Gardner ◽  
Wulf F. Massell
Keyword(s):  
Seismic Data ◽  
Constant Velocity ◽  
Three Dimensional ◽  
Logarithmic Scale ◽  
Model Data ◽  
Reconstruction Process ◽  
Input Field ◽  
Scattering Center ◽  
Straight Line ◽  
The Matrix

A new computer algorithm is described by which velocity estimates can be derived from three‐dimensional (3-D) multifold seismic data. The velocity estimate, referred to as “imaging velocity,” is that which best describes the diffraction hyperboloid due to a scatterer. The scattering center is best imaged when this velocity is used in the reconstruction process. The method is based on the 3-D Kirchhoff summation migration before stack. The implementation consists of two basic phases: (1) differentiating the input field traces and resampling them to a logarithmic time scale, and (2) shifting, weighting, and summing each resampled trace to a range of depth levels also chosen on a logarithmic scale. Peak amplitudes in the resulting image matrix give a time T and depth Z from which velocity is obtained using the relation [Formula: see text] The locus of constant velocity is a slanted straight line in the coordinate system of the matrix. In the usual application of migration for velocity analysis, each input trace of N samples is migrated for each of M constant velocity functions requiring [Formula: see text] moveout shift calculations. In the new method presented here, a constant shift is calculated for a given resampled trace, for each depth into which it is summed. This reduces the number of calculations per trace to about N, resulting in a significant improvement in computing efficiency. The operation of the algorithm is illustrated using synthetic and physical model data.

Three dimensional electromagnetic model guided scattering center extraction

2016 ◽  
Author(s):  
CongHui Ma ◽  
GongJian Wen ◽  
JinRong Zhong ◽  
Xiaoliang Yang ◽  
BaiYuan Ding ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Electromagnetic Model ◽  
Scattering Center

The Study of Three-Dimensional Micro-Motion Feature Extraction of Ballistic Target Based on Netted Radar

2014 ◽  
Vol 530-531 ◽  
pp. 534-539
Author(s):  
Dong Zhang ◽  
Cun Qian Feng ◽  
Ning Ning Tong ◽  
Si San He ◽  
Teng Lei
Keyword(s):  
Feature Extraction ◽  
Three Dimensional ◽  
Motion Feature ◽  
Feature Extraction Method ◽  
Scattering Center ◽  
Motion Features ◽  
Micro Motion ◽  
New Feature ◽  
Motion Characteristics ◽  
Relationship Of

To solve the problem of sliding-type scattering center and the problem of angle limitation of single radar, a kind of method for extracting three-dimensional micro-motion characteristics of ballistic target based on netted radars was proposed. Firstly, A new feature extraction method based on half period delay multiplication was introduced which establishes the relationship of sliding-type scattering center and ideal scattering center, then making use of the expand hough transformation, the parameters of echo signals were extracted. At last, the three-dimensional micro-motion features and the structure features were obtained by solving nonlinear multivariable equation systems which were established by the multi-view of netted radar. Simulation validated the method can get both the high estimating precision and the three-dimensional micro-motion parameters.

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